One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm,
there are several objects and each object plays some specific roles. After identifying objects, the various
relationships among objects must be identified. This paper makes a literature review over relationships
among objects. Mainly, the relationships are three basic types, including generalization/specialization,
aggregation and association.This paper presents five taxonomies for properties of the relationships. The first
taxonomy is based on temporal view. The second taxonomy is based on structure and the third one relies on
behavioral. The fourth taxonomy is specified on mathematical view and fifth one related to the interface.
Additionally, the properties of the relationships are evaluated in a case study and several recommendations
are proposed.
Entity Resolution is a problem that occurs in many information integration processes and applications. The primary goal of entity resolution is to resolve data references to the corresponding same real world entity. The ambiguity in references comes in various net- works such as social network, biological network, citation graphs and many others. Ambiguity in references not only leads to data redundancy but also inaccuracies in knowledge representation, extraction and query processing. Entity resolution is the solution to this problem. There have been many approaches such as pair-wise similarity over attributes of references, a parallel approach for morphing the graph data on to cluster of nodes (P-Swoosh) [2] and relational clustering that makes use of relational information in addition to the attribute similarity. In this article, we make use of relational culstering to resolve author name ambiguities in a subset of a real-world dataset: US patent network consisting of more than 650,000 author references.
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
This study mainly focuses on how object-oriented analysis makes compatible with newly develop or other existing business computing application in a better way. This study also focuses on the modeling of the exact procedure or near to the exact procedure within its application domain which may model by using different objects class. Objects are basically structured into different classes of objects which are generally related to behaviors and characteristics. These methodologies may use different generalization, classification, and different aggregation as a structure object assemblies for the target actions like services or activities which are related to the objects. There are numerous misconceptions related to object oriented analysis which are required to address when we consider the use of any object-oriented method. In this paper try to represent different advantages and various application of the UML in the field of automatic system analysis and modeling. The platform presented here is a comprehensive range of the different UML templates with all other required information.
Entity Resolution is a problem that occurs in many information integration processes and applications. The primary goal of entity resolution is to resolve data references to the corresponding same real world entity. The ambiguity in references comes in various net- works such as social network, biological network, citation graphs and many others. Ambiguity in references not only leads to data redundancy but also inaccuracies in knowledge representation, extraction and query processing. Entity resolution is the solution to this problem. There have been many approaches such as pair-wise similarity over attributes of references, a parallel approach for morphing the graph data on to cluster of nodes (P-Swoosh) [2] and relational clustering that makes use of relational information in addition to the attribute similarity. In this article, we make use of relational culstering to resolve author name ambiguities in a subset of a real-world dataset: US patent network consisting of more than 650,000 author references.
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
This study mainly focuses on how object-oriented analysis makes compatible with newly develop or other existing business computing application in a better way. This study also focuses on the modeling of the exact procedure or near to the exact procedure within its application domain which may model by using different objects class. Objects are basically structured into different classes of objects which are generally related to behaviors and characteristics. These methodologies may use different generalization, classification, and different aggregation as a structure object assemblies for the target actions like services or activities which are related to the objects. There are numerous misconceptions related to object oriented analysis which are required to address when we consider the use of any object-oriented method. In this paper try to represent different advantages and various application of the UML in the field of automatic system analysis and modeling. The platform presented here is a comprehensive range of the different UML templates with all other required information.
SEMANTIC INTEGRATION FOR AUTOMATIC ONTOLOGY MAPPING cscpconf
In the last decade, ontologies have played a key technology role for information sharing and agents interoperability in different application domains. In semantic web domain, ontologies are efficiently used toface the great challenge of representing the semantics of data, in order to bring the actual web to its full
power and hence, achieve its objective. However, using ontologies as common and shared vocabularies requires a certain degree of interoperability between them. To confront this requirement, mapping ontologies is a solution that is not to be avoided. In deed, ontology mapping build a meta layer that allows different applications and information systems to access and share their informations, of course, after resolving the different forms of syntactic, semantic and lexical mismatches. In the contribution presented in this paper, we have integrated the semantic aspect based on an external lexical resource, wordNet, to design a new algorithm for fully automatic ontology mapping. This fully automatic character features the
main difference of our contribution with regards to the most of the existing semi-automatic algorithms of ontology mapping, such as Chimaera, Prompt, Onion, Glue, etc. To better enhance the performances of our algorithm, the mapping discovery stage is based on the combination of two sub-modules. The former
analysis the concept’s names and the later analysis their properties. Each one of these two sub-modules is
it self based on the combination of lexical and semantic similarity measures.
Fundamentals of Database Management Systems 2nd Edition Gillenson Solutions M...gamuhuto
Full download http://alibabadownload.com/product/fundamentals-of-database-management-systems-2nd-edition-gillenson-solutions-manual/
Fundamentals of Database Management Systems 2nd Edition Gillenson Solutions Manual
Microposts Ontology Construction Via Concept Extraction dannyijwest
The social networking website Facebook offers to its users a feature called “status updates” (or just “status”), which allows users to create Microposts directed to all their contacts, or a subset thereof. Readers can respond to Microposts, or in addition to that also click a “Like” button to show their appreciation for a certain Micropost. Adding semantic meaning in the sense of unambiguous intended ideas to such Microposts. We can make a start towards semantic web by adding semantic annotation to web resources. Ontology are used to specify meaning of annotations. Ontology provide a vocabulary for representing and communicating knowledge about some topic and a set of semantic relationships that hold among the terms in that vocabulary. For increasing the efficiency of ontology based application there is a need to develop a mechanism that reduces the manual work in developing ontology. In this paper, we proposed Microposts’ ontology construction. In this paper we present a method that extracts meaningful knowledge from microposts shared in social platforms. This process involves different steps for the analysis of such microposts (extraction of keywords, named entities and their matching to ontological concepts).
Association Rule Mining Based Extraction of Semantic Relations Using Markov L...IJwest
Ontology may be a conceptualization of a website into a human understandable, however machine-readable format consisting of entities, attributes, relationships and axioms. Ontologies formalize the intentional aspects of a site, whereas the denotative part is provided by a mental object that contains assertions about instances of concepts and relations. Semantic relation it might be potential to extract the whole family-tree of a outstanding personality employing a resource like Wikipedia. In a way, relations describe the linguistics relationships among the entities involve that is beneficial for a higher understanding of human language. The relation can be identified from the result of concept hierarchy extraction. The existing ontology learning process only produces the result of concept hierarchy extraction. It does not produce the semantic relation between the concepts. Here, we have to do the process of constructing the predicates and also first order logic formula. Here, also find the inference and learning weights using Markov Logic Network. To improve the relation of every input and also improve the relation between the contents we have to propose the concept of ARSRE. This method can find the frequent items between concepts and converting the extensibility of existing lightweight ontologies to formal one. The experimental results can produce the good extraction of semantic relations compared to state-of-art method.
Software Engineering - Modelling Concepts + Class Modelling + Building the An...Prakhyath Rai
Software Engineering - Part 2 which describes the following topics:
Introduction, Modelling Concepts and Class Modelling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO Modelling history. Modelling as Design technique: Modelling, abstraction, The Three models. Class Modelling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams.
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data Modelling Concepts.
Association Rule Mining Based Extraction of Semantic Relations Using Markov ...dannyijwest
Ontology may be a conceptualization of a website into a human understandable, however machine-
readable format consisting of entities, attributes, relationships and axioms. Ontologies formalize the
intentional aspects of a site, whereas the denotative part is provided by a mental object that contains
assertions about instances of concepts and relations. Semantic relation it might be potential to extract the
whole family-tree of a outstanding personality employing a resource like Wikipedia. In a way, relations
describe the linguistics relationships among the entities involve that is beneficial for a higher
understanding of human language. The relation can be identified from the result of concept hierarchy
extraction. The existing ontology learning process only produces the result of concept hierarchy extraction.
It does not produce the semantic relation between the concepts. Here, we have to do the process of
constructing the predicates and also first order logic formula. Here, also find the inference and learning
weights using Markov Logic Network. To improve the relation of every input and also improve the relation
between the contents we have to propose the concept of ARSRE.
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSsipij
In this paper, we present a set of spatial relations between concepts describing an ontological model for a
new process of character recognition. Our main idea is based on the construction of the domain ontology
modelling the Latin script. This ontology is composed by a set of concepts and a set of relations. The
concepts represent the graphemes extracted by segmenting the manipulated document and the relations are
of two types, is-a relations and spatial relations. In this paper we are interested by description of second
type of relations and their implementation by java code.
The possibility of modeling and abstracting interaction has been the key driver in social network-based
research as it facilitates, among other things, the generation of recommendations which is vital for most
businesses. Being ubiquitous, learning activities also facilitate the formation of these networks. Thus, to
gain insights into the evolution of activities and interactions that occur during learning events, it is
important to understand these networks and their respective models. In this article, we present a survey of
the representative methods employed in modeling various interactions observed in learner-centered
networks. Finally, we comparatively analyze the respective models and identify which models perform
better in respective cases.
Microposts Ontology Construction Via Concept Extraction dannyijwest
The social networking website Facebook offers to its users a feature called “status updates” (or just
“status”), which allows users to create Microposts directed to all their contacts, or a subset thereof.
Readers can respond to Microposts, or in addition to that also click a “Like” button to show their
appreciation for a certain Micropost. Adding semantic meaning in the sense of unambiguous intended ideas
to such Microposts. We can make a start towards semantic web by adding semantic annotation to web
resources. Ontology are used to specify meaning of annotations. Ontology provide a vocabulary for
representing and communicating knowledge about some topic and a set of semantic relationships that hold
among the terms in that vocabulary. For increasing the efficiency of ontology based application there is a
need to develop a mechanism that reduces the manual work in developing ontology. In this paper, we
proposed Microposts’ ontology construction. In this paper we present a method that extracts meaningful
knowledge from microposts shared in social platforms. This process involves different steps for the analysis
of such microposts (extraction of keywords, named entities and their matching to ontological concepts).
International Journal of Programming Languages and Applications (IJPLA)ijpla
International Journal of Programming Languages and Applications (IJPLA) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Programming Languages and Applications. This journal is dedicated to the distribution of research results in the areas of Programming Languages and Applications.
A study of the Behavior of Floating-Point Errorsijpla
The dangers of programs performing floating-point computations are well known. This is due to numerical reliability issues resulting from rounding errors arising during the computations. In general, these round-off errors are neglected because they are small. However, they can be accumulated and propagated and lead to faulty execution and failures. Typically, in critical embedded systems scenario, these faults may cause dramatic damages (eg. failures of Ariane 5 launch and Patriot Rocket mission). The ufp (unit in the first place) and ulp (unit in the last place) functions are used to estimate maximum value of round-off errors. In this paper, the idea consists in studying the behavior of round-off errors, checking their numerical stability using a set of constraints and ensuring that the computation results of round-off errors do not become larger when solving constraints about the ufp and ulp values.
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SEMANTIC INTEGRATION FOR AUTOMATIC ONTOLOGY MAPPING cscpconf
In the last decade, ontologies have played a key technology role for information sharing and agents interoperability in different application domains. In semantic web domain, ontologies are efficiently used toface the great challenge of representing the semantics of data, in order to bring the actual web to its full
power and hence, achieve its objective. However, using ontologies as common and shared vocabularies requires a certain degree of interoperability between them. To confront this requirement, mapping ontologies is a solution that is not to be avoided. In deed, ontology mapping build a meta layer that allows different applications and information systems to access and share their informations, of course, after resolving the different forms of syntactic, semantic and lexical mismatches. In the contribution presented in this paper, we have integrated the semantic aspect based on an external lexical resource, wordNet, to design a new algorithm for fully automatic ontology mapping. This fully automatic character features the
main difference of our contribution with regards to the most of the existing semi-automatic algorithms of ontology mapping, such as Chimaera, Prompt, Onion, Glue, etc. To better enhance the performances of our algorithm, the mapping discovery stage is based on the combination of two sub-modules. The former
analysis the concept’s names and the later analysis their properties. Each one of these two sub-modules is
it self based on the combination of lexical and semantic similarity measures.
Fundamentals of Database Management Systems 2nd Edition Gillenson Solutions M...gamuhuto
Full download http://alibabadownload.com/product/fundamentals-of-database-management-systems-2nd-edition-gillenson-solutions-manual/
Fundamentals of Database Management Systems 2nd Edition Gillenson Solutions Manual
Microposts Ontology Construction Via Concept Extraction dannyijwest
The social networking website Facebook offers to its users a feature called “status updates” (or just “status”), which allows users to create Microposts directed to all their contacts, or a subset thereof. Readers can respond to Microposts, or in addition to that also click a “Like” button to show their appreciation for a certain Micropost. Adding semantic meaning in the sense of unambiguous intended ideas to such Microposts. We can make a start towards semantic web by adding semantic annotation to web resources. Ontology are used to specify meaning of annotations. Ontology provide a vocabulary for representing and communicating knowledge about some topic and a set of semantic relationships that hold among the terms in that vocabulary. For increasing the efficiency of ontology based application there is a need to develop a mechanism that reduces the manual work in developing ontology. In this paper, we proposed Microposts’ ontology construction. In this paper we present a method that extracts meaningful knowledge from microposts shared in social platforms. This process involves different steps for the analysis of such microposts (extraction of keywords, named entities and their matching to ontological concepts).
Association Rule Mining Based Extraction of Semantic Relations Using Markov L...IJwest
Ontology may be a conceptualization of a website into a human understandable, however machine-readable format consisting of entities, attributes, relationships and axioms. Ontologies formalize the intentional aspects of a site, whereas the denotative part is provided by a mental object that contains assertions about instances of concepts and relations. Semantic relation it might be potential to extract the whole family-tree of a outstanding personality employing a resource like Wikipedia. In a way, relations describe the linguistics relationships among the entities involve that is beneficial for a higher understanding of human language. The relation can be identified from the result of concept hierarchy extraction. The existing ontology learning process only produces the result of concept hierarchy extraction. It does not produce the semantic relation between the concepts. Here, we have to do the process of constructing the predicates and also first order logic formula. Here, also find the inference and learning weights using Markov Logic Network. To improve the relation of every input and also improve the relation between the contents we have to propose the concept of ARSRE. This method can find the frequent items between concepts and converting the extensibility of existing lightweight ontologies to formal one. The experimental results can produce the good extraction of semantic relations compared to state-of-art method.
Software Engineering - Modelling Concepts + Class Modelling + Building the An...Prakhyath Rai
Software Engineering - Part 2 which describes the following topics:
Introduction, Modelling Concepts and Class Modelling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO Modelling history. Modelling as Design technique: Modelling, abstraction, The Three models. Class Modelling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams.
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data Modelling Concepts.
Association Rule Mining Based Extraction of Semantic Relations Using Markov ...dannyijwest
Ontology may be a conceptualization of a website into a human understandable, however machine-
readable format consisting of entities, attributes, relationships and axioms. Ontologies formalize the
intentional aspects of a site, whereas the denotative part is provided by a mental object that contains
assertions about instances of concepts and relations. Semantic relation it might be potential to extract the
whole family-tree of a outstanding personality employing a resource like Wikipedia. In a way, relations
describe the linguistics relationships among the entities involve that is beneficial for a higher
understanding of human language. The relation can be identified from the result of concept hierarchy
extraction. The existing ontology learning process only produces the result of concept hierarchy extraction.
It does not produce the semantic relation between the concepts. Here, we have to do the process of
constructing the predicates and also first order logic formula. Here, also find the inference and learning
weights using Markov Logic Network. To improve the relation of every input and also improve the relation
between the contents we have to propose the concept of ARSRE.
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSsipij
In this paper, we present a set of spatial relations between concepts describing an ontological model for a
new process of character recognition. Our main idea is based on the construction of the domain ontology
modelling the Latin script. This ontology is composed by a set of concepts and a set of relations. The
concepts represent the graphemes extracted by segmenting the manipulated document and the relations are
of two types, is-a relations and spatial relations. In this paper we are interested by description of second
type of relations and their implementation by java code.
The possibility of modeling and abstracting interaction has been the key driver in social network-based
research as it facilitates, among other things, the generation of recommendations which is vital for most
businesses. Being ubiquitous, learning activities also facilitate the formation of these networks. Thus, to
gain insights into the evolution of activities and interactions that occur during learning events, it is
important to understand these networks and their respective models. In this article, we present a survey of
the representative methods employed in modeling various interactions observed in learner-centered
networks. Finally, we comparatively analyze the respective models and identify which models perform
better in respective cases.
Microposts Ontology Construction Via Concept Extraction dannyijwest
The social networking website Facebook offers to its users a feature called “status updates” (or just
“status”), which allows users to create Microposts directed to all their contacts, or a subset thereof.
Readers can respond to Microposts, or in addition to that also click a “Like” button to show their
appreciation for a certain Micropost. Adding semantic meaning in the sense of unambiguous intended ideas
to such Microposts. We can make a start towards semantic web by adding semantic annotation to web
resources. Ontology are used to specify meaning of annotations. Ontology provide a vocabulary for
representing and communicating knowledge about some topic and a set of semantic relationships that hold
among the terms in that vocabulary. For increasing the efficiency of ontology based application there is a
need to develop a mechanism that reduces the manual work in developing ontology. In this paper, we
proposed Microposts’ ontology construction. In this paper we present a method that extracts meaningful
knowledge from microposts shared in social platforms. This process involves different steps for the analysis
of such microposts (extraction of keywords, named entities and their matching to ontological concepts).
International Journal of Programming Languages and Applications (IJPLA)ijpla
International Journal of Programming Languages and Applications (IJPLA) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Programming Languages and Applications. This journal is dedicated to the distribution of research results in the areas of Programming Languages and Applications.
A study of the Behavior of Floating-Point Errorsijpla
The dangers of programs performing floating-point computations are well known. This is due to numerical reliability issues resulting from rounding errors arising during the computations. In general, these round-off errors are neglected because they are small. However, they can be accumulated and propagated and lead to faulty execution and failures. Typically, in critical embedded systems scenario, these faults may cause dramatic damages (eg. failures of Ariane 5 launch and Patriot Rocket mission). The ufp (unit in the first place) and ulp (unit in the last place) functions are used to estimate maximum value of round-off errors. In this paper, the idea consists in studying the behavior of round-off errors, checking their numerical stability using a set of constraints and ensuring that the computation results of round-off errors do not become larger when solving constraints about the ufp and ulp values.
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)ijpla
Research Paper Submission..!!
Free Publication for Extended papers
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)
February 24 ~ 25, 2024, Vancouver, Canada
Webpage URL: https://acsty2024.org/mlsc/index
Submission Deadline: January 27, 2024
Selected papers from MLSC 2024, after further revisions, will be published in the special issues of the following journals.
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal on Soft Computing (IJSC)
Information Technology in Industry (ITII)
Submission System Link: https://acsty2024.org/submission/index.php
Contact us:
Here's where you can reach us : mlsc@acsty2024.org or mlsc.conf@yahoo.com
#machinelearning #artificialintiligence #datamining #softcomputing #datascintific
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International Conference on Antennas, Microwave and Microelectronics Engineering (AMiMi 2024) will provide an excellent international forum for sharing knowledge andnew research results in all areas of Antennas, Microwave and Microelectronics Engineering. The conference focuses to promote interdisciplinary studies Antennas, Microwave and Microelectronics Engineering. Authors are solicited to contribute to this conference by submitting articles for the development of Antennas, Microwave and Microelectronics Engineering.Original research papers, state-of-the-art reviews are invited for publication in all areas of Antennas, Microwave and Microelectronics Engineering.
INVESTIGATION OF ATTITUDES TOWARDS COMPUTER PROGRAMMING IN TERMS OF VARIOUS V...ijpla
Java Language becomes the most common Object-Oriented Programming Language over the entire world. Students from Computer Sciences and Information Technology are struggling to lean Java concepts and programs on Java. That is because of the various difficulties in understanding Object Oriented concepts especially by novice programmers. This research adopts the design of interactive animation tool named LearnOOP which includes an animated visual model that shows the role of an object within a Java program. The visual object reflects the attributes and behaviour of that object to enhance students’ understanding. The interaction between the developed tool and students is conducted and the usability is measured using a questionnaire. The results show that the developed tool is more effective than using traditional teaching and positively impact learning. The results also have confirmed that LearnOOP tool is promising with respect to quality assurance, effectiveness and usability.
Research Paper Submission..!!! Free Publication for Extended papers 3rd Inter...ijpla
Research Paper Submission..!!!
Free Publication for Extended papers
3rd International Conference on Computing and Information Technology Trends (CCITT 2024)
January 13-14, 2024, Virtual Conference
https://ccitt2024.org/
Submission Deadline: December 30, 2023(Final Call)
Selected papers from CCITT 2024, after further revisions, will be published in the special issues of the following journals.
International Journal of Artificial Intelligence & Applications (IJAIA)
International Journal on Computational Science & Applications (IJCSA)
International Journal on Bioinformatics & Biosciences (IJBB)
International Journal On Cryptography And Information Security (IJCIS)
International Journal of Fuzzy Logic Systems (IJFLS)
International Journal of Mobile Network Communications & Telematics (IJMNCT)
International Journal of Programming Languages and Applications (IJPLA)
International Journal of Embedded Systems and Applications (IJESA)
Submission System URL:
https://ccitt2024.org/submission/index.php
Contact Us:
Here's where you can reach us : ccitt@ccitt2024.org or ccittconf@yahoo.com
#entrepreneur #motivation #success #inspiration #money #blackgirlsrock #blackgirls #wearemagical #knowledge #ai #coding #tech #technology #programmer #pc #design #interiordesign #art #decor #home #good #to #cool #türkiye #instadaily #love #truth #respect #truthbetold #lovelife #life #fashion #style #watch #bulletperf #bahrain #development #emcansolutions #branding #upsc #science #ias #ibps #bigdata #7wdata #artificialintelligence #painting #follow #picoftheday #sullen #bees #sullenclothing #glasgow #inkgeeks #math #physicsfun #astronomy #physicsmemes #devops #iot #azure #php #researchers
2nd International Conference on Computing and Information Technology (CITE 2024)ijpla
2nd International Conference on Computing and Information Technology (CITE 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and Information Technology.
A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling Problemsijpla
Bio-Inspired computing is the subset of Nature-Inspired computing. Job Shop Scheduling Problem is
categorized under popular scheduling problems. In this research work, Bacterial Foraging Optimization
was hybridized with Ant Colony Optimization and a new technique Hybrid Bacterial Foraging
Optimization for solving Job Shop Scheduling Problem was proposed. The optimal solutions obtained by
proposed Hybrid Bacterial Foraging Optimization algorithms are much better when compared with the
solutions obtained by Bacterial Foraging Optimization algorithm for well-known test problems of different
sizes. From the implementation of this research work, it could be observed that the proposed Hybrid
Bacterial Foraging Optimization was effective than Bacterial Foraging Optimization algorithm in solving
Job Shop Scheduling Problems. Hybrid Bacterial Foraging Optimization is used to implement real world
Job Shop Scheduling Problems
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)ijpla
5th International Conference on Machine Learning and Soft Computing (MLSC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications Machine learning and Soft Computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
International Journal of Programming Languages and Applications ( IJPLA )ijpla
International Journal of Programming Languages and Applications (IJPLA) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Programming Languages and Applications. This journal is dedicated to the distribution of research results in the areas of Programming Languages and Applications. Programming Languages
3rd International Conference on Computing and Information Technology Trends (...ijpla
3rd International Conference on Computing and Information Technology Trends (CCITT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computer Science, Compute Engineering, Information Technology and Trends in theoretical and practical aspects.
HIGH-LEVEL LANGUAGE EXTENSIONS FOR FAST EXECUTION OF PIPELINE-PARALLELIZED CO...ijpla
The last few years have seen multicore architectures emerge as the defining technology shaping the future
of high-performance computing. Although multicore architectures present tremendous performance
potential, to realize the true potential of these systems, software needs to play a key role. In particular,
high-level language abstractions and the compiler and the operating system should be able to exploit the
on-chip parallelism and utilize underlying hardware resources on these emerging platforms. This paper
presents a set of high-level abstractions that allow the programmer to specify, at the source-code level, a
variety to of parameters related to parallelism and inter-thread data locality. These abstractions are
implemented as extensions to both C and Fortran. We present the syntax of these directives and also
discuss their implementation in the context of source-to-source transformation framework and autotuning
system. The abstractions are particularly applicable to pipeline parallelized code. We demonstrate the
effectiveness of these strategies of a set of pipeline parallel benchmarks on three different multicore
platforms.
Research Paper Submission- 5th International Conference on Machine Learning a...ijpla
Research Paper Submission..!!
Free Publication for Extended papers
5th International Conference on Machine Learning and Soft Computing (MLSC 2024)
February 24 ~ 25, 2024, Vancouver, Canada
Webpage URL: https://acsty2024.org/mlsc/index
Submission Deadline: December 02, 2023
Selected papers from MLSC 2024, after further revisions, will be published in the special issues of the following journals.
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal on Soft Computing (IJSC)
Information Technology in Industry (ITII)
Submission System Link: https://acsty2024.org/submission/index.php
Contact us:
Here's where you can reach us : mlsc@acsty2024.org or mlsc.conf@yahoo.com
Submit Your Articles- International Journal of Programming Languages and Appl...ijpla
International journal of Programming Languages and applications is dedicated to the distribution of research results in the areas of Programming Languages and applications.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Programming Languages.
Formal treatments of inheritance are rather scarce and those that do exist are often more suited for
analysis of existing systems than as guides to language designers. One problem that adds complexity to
previous efforts is the need to pass a reference to the original invoking object throughout the method call
tree. In this paper, a novel specification of inheritance semantics is given. The approach dispenses with
self-reference, instead using static and dynamic scope to accomplish similar behaviour. The result is a
methodology that is simpler than previous specification attempts, easy to understand, and sufficiently
expressive. Moreover, an inheritance system based on this approach can be implemented with relatively
few lines of code in environment-passing interpreters.
Research Paper Submission- International Conference on Computer Science, Info...ijpla
International Conference on Computer Science, Information Technology & AI (CSITAI 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Information Technology and Artificial Intelligence. The Conference looks for significant contributions to all major fields of the Computer Science, Information Technology and AI in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Paper Submission-3rd International Conference on Computing and Infor...ijpla
Research Paper Submission..!!!
Free Publication for Extended papers
3rd International Conference on Computing and Information Technology Trends (CCITT 2024)
January 13-14, 2024, Virtual Conference
https://ccitt2024.org/
Submission Deadline: November 18, 2023
Selected papers from CCITT 2024, after further revisions, will be published in the special issues of the following journals.
International Journal of Artificial Intelligence & Applications (IJAIA)
International Journal on Computational Science & Applications (IJCSA)
International Journal on Bioinformatics & Biosciences (IJBB)
International Journal On Cryptography And Information Security (IJCIS)
International Journal of Fuzzy Logic Systems (IJFLS)
International Journal of Mobile Network Communications & Telematics (IJMNCT)
International Journal of Programming Languages and Applications (IJPLA)
International Journal of Embedded Systems and Applications (IJESA)
Submission System URL:
https://ccitt2024.org/submission/index.php
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CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
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Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
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Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
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Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
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Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Final project report on grocery store management system..pdfKamal Acharya
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Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
PROPERTIES OF RELATIONSHIPS AMONG OBJECTS IN OBJECT-ORIENTED SOFTWARE DESIGN
1. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
DOI : 10.5121/ijpla.2015.5401 1
PROPERTIES OF RELATIONSHIPS AMONG
OBJECTS IN OBJECT-ORIENTED
SOFTWARE DESIGN
Zeynab Rashidi
Master Student in Department of Mathematics and Computer Science, AmirKabir
University of Technology,Tehran, Iran.
Abstract
One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm,
there are several objects and each object plays some specific roles. After identifying objects, the various
relationships among objects must be identified. This paper makes a literature review over relationships
among objects. Mainly, the relationships are three basic types, including generalization/specialization,
aggregation and association.This paper presents five taxonomies for properties of the relationships. The first
taxonomy is based on temporal view. The second taxonomy is based on structure and the third one relies on
behavioral. The fourth taxonomy is specified on mathematical view and fifth one related to the interface.
Additionally, the properties of the relationships are evaluated in a case study and several recommendations
are proposed.
Keywords
Taxonomy, Class, Object, Relationship, Object-Oriented, Software Engineering
1.INTRODUCTION
The modern paradigm for developing software is Object-Oriented (OO). In this paradigm, we
describe our world using the object categories (classes) or object types (pure abstract class or Java
interface) (see[12],[13] and [26]). Each class/object plays a specific role in the software. These
roles are programmed in Object-Oriented languages such as C++ and Java.Severalattributes (data
variables) and services (operations/functions/methods) are assigned to these classes. Then, we
model the behavior of the world as a sequence of messages that are sent between various objects. In
OO models, a number of relationships (inheritance, association, and aggregation- see[22],[3] ,[20],
[23] and [26]) are identified between the classes/objects. Moreover, there are many popular design
modeling processes and guidelines such as GRASP [28] and ICONIX [27] for assigning
responsibility to classes and objects in object-oriented design.
In recent years, few researchers focus on object oriented software engineering. Fokaefs et al. (2012)
describe a method and a tool designed to fulfill exactly the extract class refactoring [11]. The
method involves three steps: (a) recognition of extract class opportunities, (b) ranking of the
opportunities in terms of improvement to anticipate which ones to be considered to the system
design, and (c) fully automated application of the refactoring chosen by the developer. Bavota et al.
(2014) propose an approach for automating the extract class refactoring [1]. This approach
analyzes structural and semantic relationships between the methods in each class to identify chains
2. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
2
of strongly related methods. The identified method chains are used to define new classes with
higher cohesion than the original class, while preserving the overall coupling between the new
classes and the classes interacting with the original class.
The first step for building an OO model is to find out the objects. In this step, we are not really
finding objects. In fact, we are actually finding categories and types (analysis concepts) that will be
implemented using classes and pure abstract classes. The results of problem analysis is a model
that: (a) organizes the data into objects and classes, and gives the data a structure via relationships
of inheritance, aggregation, and association; (b) specifies local functional behaviors and defines
their external interfaces; (c) captures control or global behavior; and (d) captures constraints (limits
and rules).
In the real world, no object could not be independent of all other objects, similar to an island.
Objects typically depend on other objects for services and possibly for error handling, constant
data, and exception handling. Relationships capture the interdependencies between objects and
provide the means by which objects know about each other. In object orientation, every service
request (function call) must be sent to a specific object while in the procedural languages a function
can be called directly.For example, in order for object A to send a message to object B, object A
must have a handle to object B (in C++, a reference or pointer).Accessing another object’s services
can be performed in the following ways(See
[7],
[9],
[10],
[11],
[14] and [29]):
The calling object, which has a handle, passes the handle of the other object as one of the
arguments of the function (message) signature.
The called object has a relationship(aggregation or link) to the other object.
The needed service belong to an ‘ancestor’ class. Ancestor means a super-class.
The access of static class function, which may be considered a managed global function.
The main motivation of this paper is to survey the relationships among objects and makes five
taxonomies for their properties. The structure of remaining sections is as follows. In Section 2, the
literature review and main relationships among objects are described. In Section 3, the taxonomies
are specified. In Section 4, practical experience and guidelinesare presented. Finally, Section 5 is
considered to summary and future works.
2.LITERATURE REVIEW
In the literature ([2], [3], [4], [5], [6], [8], [16], [26], [23] and [20]), we found three basic
relationships among classes/objects: generalization/specialization (inheritance),aggregationand
association.These are certainly not new concepts and most professionals work with them every day
in modeling.
Generalization/Specialization:We all learned generalization/specialization when
studying taxonomies inbiology class. This is a relationship between classes rather than
objects. Generalization/Speciation 'Is A Type’ relationship between classes. For example,
consider two objects: ‘Person’ and ‘Student’. Student 'is-a' Person. Thus, the attributes of a
person is also attributes of student. In this relationship, attributes, relationships, services,
and methods are inherited from the generalization (super-class) by the specialization
(subclass).
3. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
3
Aggregation:This is a relationship in which one object is formed from other objects; e.g.
Car and engine.Aggregation captures the whole-parts relationship between objects. In
contrast to generalization/specialization, there is no inheritance between objects
participating in an aggregation. The main advantages of aggregations are that they reduce
complexity by allowing software engineers to treat many objects as one object.
Association: This is a relationship by which an object knows about another one. An
excellent example of an association (link) is marriage. Moreover, links in the form of
associations have been widely usedfor yearsin the database modeling community.
These relationships and their identifications are described in the following subsections.
2.1 GENERALIZATION/SPECIALIZATION
To identifying generalization/specialization relationship, software engineers must perform the
‘IS_A’test between pairs of objects after identifying objects. In fact, software engineers ask the
questions: (a) Is Object A an Object B? ; (b) Is Object B an Object A? Note that we are really asking
if an object of type A is an object of type B. Allowed answers of those questions are: (a) ‘always’;
(b) ‘sometimes’ and (c) ‘never’. Based on the answers, software engineers make some
interpretations according to the information given in Table-1. More details on the matter along with
some examples are given in [16].
Table-1: The interpretation of the results in IS_A Test
Interpretation
Questions
Is Aa B?
Is B an A?
Synonymous
Always
Always
Answer B is a generalization of A
Always
Sometimes
A is a generalization of B
Sometimes
Always
2.2 AGGREGATION
Unfortunately, most software engineers have difficulties applying this relationship properly in
practice because the object-oriented paradigm has not defined the aggregation mechanism very
well. The latest literature on this topic argues that this is due to the fact that aggregation, itself, is an
‘ancestor’ concept. It is our belief that software engineers need to use the ‘descendent’ concepts
(more specialization) to be able to use this mechanism effectively. These descendent concepts, or
different kinds of aggregation, will capture additional properties that will help software engineers
to manage complexity effectively.
From a theoretical perspective, linguists, logicians, and psychologists have studied the nature of
relationships. One of relationships that has been studied reasonable well is the relationship between
the parts of things and the wholes that they make up. In a joint paper, Morton Wins ton, Roger
Chaffin, and Douglas Herrmann discussed this whole-parts relationship [25]. They described
several kinds of aggregation. The paper identified six types of aggregation; Lee and Tepfenhart
(2005) added a seventh [16]; we added an eighth:(a)Assembly-Parts;(b) Component-Integral
Composition;(c) Material-object Composition;(d) Portion-Object Composition;(e) Place-Area
Composition;(f) Collection-Members composition;(g) Container-Content(Member-Bunch
Composition);(h) Member-partnership composition and (i) Compound-Elements Composition.
4. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
4
Assembly-Parts (Component-Integral) Composition: In this aggregation, the whole is
comprised of the components that maintain their identity even when they are part of the
whole. The parts have a specific functional or structural role with respect to each other. To
identify this aggregation, software engineers must look for some keywords like ‘is part of’
and ‘is assembled from’. For example, a keyboard is part of a computer and chairs are parts
of the office. Note that in this relationship the assembly does not exist without parts and the
components may not be haphazardly (incidentally) arranged, but must bear a particular
relationship, either structurally or functionally. Moreover, the whole exhibits a patterned
structure or organization. In practice, the whole may be: (a)Tangible like car, toothbrush
and printer; (b) Abstract like physics, mathematics and jokes; (c) Organizational like
NATO and United Nation; (d) Temporal such as musical performance and film showing.
Material-Object Composition: In this type of aggregation, the parts lose their identity
when they are used to make the whole. This defines an invariant configuration of parts
within the whole because no part may be removed from the whole. To identify this
relationship, software engineers must look for key words like ‘is partly’ and ‘is made
from’. For example, suppose bread is made from flour, a table is made from wood and a car
is made of materials such as iron, plastic and glass.
Portion-Object Composition: This aggregation defines a homogenous configuration of
parts in the whole. Usually, portions of the objects can be divided using standards measures
such as inches, liters, hours and so on. The portion-object composition supports the
arithmetic operations +, -, ×, /. To identify this kind of relationship, software engineers
must look for some keywords like ‘portion of’, ‘slice’, ‘helping of’, ‘segment of’, ‘lump
of’, and such similar phrases. For example, a second is part of a day and a meter is part of
kilometer.
Place-Area Composition: This aggregation defines a homogenous and invariant
configuration of parts in a whole. It is commonly used to identify links between places and
particular locations within them. When looking for this aggregation, look for preliminary
Portion-object composition and then ask if this relationship is invariant. For examples,
Colchester is part of UKand a room is part of a hotel.
Collection-Members Composition: This aggregation is a specialized version of the
Place-Area Composition. In addition to being homogenous and invariantconfiguration of
parts within a whole, there is an implied order to its members. When looking for this
aggregation, look for place-area aggregation and then check if there is an implied order.
For example,suppose Collection-members Composition Airline reservation with its
various flight segments and Monthly timesheet-daily timesheets.
Container-Content (Member-Bunch)Composition: This aggregation defines a
collection of parts as a whole. The only constraint, here, is that there is a spatial, temporal
or social connection for determining when a member is part of the collection. This
aggregation tends to be a catchall (contents without classification) for aggregation-type
relationships.For example, suppose a box with contents of the box and a bag with its
contents of bag.
Member-Partnership Composition:In this aggregation, the parts bear neither a
functional nor a structural relationship to each other or to the whole. The contents are
neither homogenous nor invariant. For example, we can consider an Union and members
and a Company and its employees. This is an invariant form of the container-content
aggregation. Members in this relationship cannot be removed without destroying the
aggregation.
5. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
5
Compound-Elements Composition: In this aggregation, the parts bear neither a
functional nor a structural relationship to each other or to the whole. The contents are
homogenous and variant. The components arehaphazardly (incidentally) arranged in the
whole. For example, we can consider a Party and People in a society.
Note that an object can be viewed as more than one aggregation. For example, we can consider
Bread as aggregate of slices (Portion-Object) and Bread as made of flour, egg(Material-Object).
2.3 ASSOCIATION
An association is a relationship that allows an object to know about another one. This relationship
is considered to be bi-directional as link through which one object traverses in either direction. An
association can have attributes and services. The best source for initial identification and specifying
associations and aggregations is the requirements documents. Links, like services are often seen as
verbs. For example, ‘which it gets from’, ‘keep track of’, ‘changes with’, and ‘depends upon’. The
sequence diagrams and behavior specification documents also help to find the links.
When software engineers are distinguishing between association and aggregation, several points
must be considered: (a) An aggregation may not connect an object to itself (e.g., supervise is
between two instances); (b) Multiple connections between objects are possible (e.g. Employee
doing several tasks). (c) Self associations are possible and common (e.g. Sibling association on
Student) and (d) Multiple association does not imply that the same two objects are related twice.
3.TAXONOMIES
One the major gaps and research needs is to have an overview and taxonomy on properties of
relationships among classes/objects in Object-Oriented software development. According to
Merriam-Webster[18], taxonomy is the study of the general principles of scientific classification,
and is especially the orderly classification of items according to their presumed natural
relationships. The major differences between properties of relationships among objects, in general,
depend on the temporal, structure, behavioral and interface views, and in particular mathematical
view. There are, therefore, five taxonomies to categorize properties of the relationships among
objects in Object-Oriented development. These taxonomies are described in the following
sub-sections.
3.1THE FIRST TAXONOMY: PROPERTIES ON TEMPORAL VIEW
The first taxonomy for properties of the relationships among objects is concerned with varying
aggregation dependency over time. Therefore, there are two properties of the relationship in this
taxonomy:
Static: In this property, components in a whole are fixed and cannot be changed over time. In the
aggregations specified in Section 2-2, Assembly-Parts(Component-integral) Composition,
Material-object Composition and Portion-object Compositionare in this taxonomy. For example, a
telephone is assembled from its parts and Windows are parts of a house.
Dynamic: In this property, components in a whole may vary over time. In the aggregations
identified in Section 2-2, Material-Object Composition,Place-area composition,
Collection-members composition, Container-content (Member-Bunch) composition and
Member-Partnership composition are dynamic.
6. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
6
3.2 THE SECOND TAXONOMY: PROPERTIES ON STRUCTURE VIEW
The second taxonomy is based on the question of whether or not the relationships bear a particular
functional or structure among classes/objects. In the generalization/specialization relationship, this
taxonomy related to the following properties:
Attributes: The descendent will have all of the attributes of the ancestor. For instance,
suppose the Employee class that inherits from the Person Class in a general payment
system; The Employee has the age attribute because it is a descendant class of Person.
Links: The descendant will have all of the non-generalization links of the ancestor. For
example, if we add a marriage link between two persons, ‘Student‘ will also have a
marriage link because it is a descendent of ‘Person’.
In the aggregation relationship, we can categorize the properties of the relationshipsaccording to
the combination of the following aspects:
Configuration: In this aspect, we must determine whether or not the parts bear a particular
functional or structure relationship.
Homogenous:In this aspect, we determine whether or not the parts are from the same kind
of thing in the whole.
Invariance:In this aspect, the kind of the relationship is determined by the basic properties
of whether or not the parts can be separated from the whole.
Table-2 shows the types of aggregation identified in Section 2-2, according to the propertieson the
structure view.
Table-2: Different combination of properties in the Aggregation relationship
Type of Aggregation
Configurati
on
Homogenous Invariance
Example
Yes No Yes No Yes No
Assembly-Parts
(Component-Integral)
Composition
√ √ √ Windows are parts of a house
Material-Object
Composition √ √ √
A car is made of materials
such as iron, plastic and glass
Portion-Object
Composition √ √ √ A second is part of a day
Place-Area
Composition √ √ √ A room is part of a hotel
Collection-Members
Composition √ √ √
Monthly timesheet and daily
timesheets
Container-Content
(Member-Bunch)
Composition
√ √ √ A box and contents of the box
Member-Partnership √ √ √ Union and members
Compound-Elements
Composition √ √ √ A party and several people
7. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
7
3.3 THE THIRD TAXONOMY: PROPERTIES ON BEHAVIOR VIEW
The third taxonomy for properties of the relationshipsis based on how the behavior of
classes/objects depending on others. In Generalization/Specializationrelationship, we have two
types of properties:
Generalization without polymorphism (Good child): All methods supplied by the
ancestor for services are also used by the descendent to provide the corresponding services.
Generalization with polymorphism (Bad child): Some methods provided by the
ancestor for its services are used by the descendant. However, the descendant can supply
its own customized methods that replace the appropriate methods.
3.4 THE FOURTH TAXONOMY: PROPERTIES ON MATHEMATICAL VIEW
The fourth taxonomy for properties of relationships is based on mathematical view. In the
generalization/specialization relationship, we have two following properties between classes:
Anti-symmetric: If class A is a descendant of class B, then class B can not be a descendant
of class A. e.g. ‘Employee’ is a person, but not all persons are employees.
Transitivity: If class C is a descendant of class B and Class B is a descendant of Class A,
then Class C is a descendant of Class A. e.g. if we add the fact that a ‘Salesperson’ is a
‘Employee’ then ‘SalesPerson’ is also a ‘Person’. Furthermore, it also has the age attribute.
In the aggregation relationship, we have two following properties of the relationship between
objects:
Anti-symmetry: If an object A is a part of an object B, then the object B cannot be a part of
the object A.
Transitivity: If an object C is part of an object B and the object B is part of an object A,
then C is part of A.
Note that the transitivity holds only for aggregations of the same kind. For example, we can
consider: (a) Microwave is part of a kitchen (Component-integral) and (b) Kitchen is part of a
house (Place-area), but Microwave is not part of a house.
3.5 THE FIFTH TAXONOMY: PROPERTIES ON INTERFACE VIEW
The fifth taxonomy for properties the relationshipsis related to providing service by an object for
others.With this view, in the generalization/specializationrelationship the descendant must also
provide all services provided by the ancestor. For example in a Personnel Management System, if
the ‘Person’ object had a ‘Get_Degree’ service, then ‘Student’ will also have a ‘Get_Degree’
service because ‘Student’ is a descendent of ‘Person’.
In the association relationship, a link can be binary (between two objects), ternary (among
threeobjects), or higher. In practice, it is rare to find links with a semantic meaning that tietogether
objects of three different object types (classes)[16]. A good example for binary association would
be a link between ‘Student’ and ‘Course’. By extending this relationship, we can have a ternary
relationship among the ‘Student’, ‘Software’, and ‘Course’ objects. It captures the fact that students
use various software tools for different courses.
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4.PRACTICAL EXPERIENCE AND GUIDELINES
In order to evaluate the relationshipsand their properties in practice, we used a Control Command
Police System (CCPS) for which a mini-requirement is briefly described in[23].We expanded this
system and used in our studydue to its fertility for reusability in both application and system
software.This police service system must respond as quickly as possible to reported incidents and
its objectives are to ensure that incidents are logged and routed to the most appropriate police
vehicle. The most important factors that must be considered which vehicle to choose to an incident
include:
Type of incident: some important and worsening events need immediate response. It is
recommended that specified categories of response actions are assigned to a definite type
of incident.
Location of available vehicles: Generally, the best strategy is to send the closest vehicle
to address the incident. Keep in mind that it is not possible to know the exact position of the
vehicles and may need to send a message to the car to determine its current location.
Type of available vehicles: some incident need vehicles need and some special incident
such as traffic accidents may need ambulance and vehicles with specific equipment.
Location of incident: In some areas, sending only one vehicle for response is enough. In
other areas, may be a police vehicle to respond to the same type of accident is enough.
Other emergency services such as fireman and ambulance: the system must
automatically alert the needs to these services.
Reporting details: The system should record details of each incident and make them
available for any information required.
The Use Case Diagram and Activity Diagram of this system are depicted in Fig. 1, and Fig. 2,
respectively. We implemented this system in Microsoft Foundation Classes (MFC) as application
framework for MS Windows (see[17], [19], [21], [27] and [28] for guidelines of
implementations). The Class Diagram of this system is depicted in Fig. 3. In this class diagram,
there are many classes. The main classes, here, are ‘Incident’, ‘Police Staff’, ‘Police Vehicle’,
‘Police Officer’, ‘Director’, ‘Route Manager’, ‘Incident Waiting List’, ‘Response’and ‘GPS
Receiver’.
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Fig. 1: The Use Case Diagram of the Control Command Police System
Fig. 2: The Activity Diagram of the Control Command Police System
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Fig. 3.The Class Diagram of the Control Command Police System
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According to the experience, one of the most difficult tasks in building an object-oriented model is
to determine whether a potential relationship is better captured as either an argument in the
signature of the service (function), or as a link, aggregation, or generalization/ specialization. The
following are the guidelines obtained from our experience:
Guidline-1: A relationship must capture some concepts that applies to the problem domain
or some sub-domain that is needed for implementation. In other words, there must be a
semantic meaning to the relationship. A service (see the property on Interface view in
Section 3-5) should only traverse the relationship when its usage is consistent with that
semantic meaning. For example, consider the link between 'Specialized Vehicle' and
'Police Vehicle' (see Fig. 3). Today, with some security service, it is possible for
'Specialized Vehicle' to work for 'Police Vehicle'. It would be improper and poor modeling
to use the link relationship to get to work domain services of the other vehicle. A second
link (Security Service) needs to be established to capture this different semantic
relationship.
Guidline-2:When the relationship is ‘permanent’ (the static property in the first taxonomy
in Section 3-1), software engineers must care around this term. If software engineers
consider a scenario as a unit of time (e.g. across an incident in our experience), then
permanent means that the relationship needs to be known across scenarios. Basically, if it
has to be stored in memory for use by some other independent process like the management
process between 'Dispatcher' and 'Police Office', then it is permanent.
Guidline-3:In each aggregation, software engineers must make sure that all of the parts are
in thesame domain and provide the same functional or structural configuration to thewhole.
Apply transitivity and anti-symmetric properties tests (see the properties in Section 3-4) to
check for consistency. Notethat transitivity is possible only with aggregations of the same
kind. It is verycommon for novices to mix parts of different kinds of aggregation in one
aggregation.This will cause the transitivity test to fail. When this happens, software
engineers probablyneed to look at the parts to see if there are different types of aggregates.
For example,consider the Control Room that has the following parts: computer, monitors,
printers, chairs, windows, floors, ceilings and walls. Ifwe put all of these parts into one
aggregation, we have mixed parts from two differentsemantic aggregations. The computer,
monitors, printers are defining a functional configurationof the building; while the
windows, floors (meaning the physical floor), ceilings,and walls are defining a structural
configuration of the building. These partsmust be captured in two different aggregations,
as they have different semantics.
Guidline-4:No aggregations connect two objects of the same kind to each other.
Thiswould violate the anti-symmetric property of the aggregation. For example in our
experience, a 'Dispatcher'may not be an aggregate of 'Police officer'.
Guidline-5:Anassociation may connect twoobjects of the same kind. For example, the
relation between the 'Reporter' and 'Reporter UI' in the Control Command Police System is
valid (See Fig.3).
Guidline-6:Aggregation is often confused with topological inclusion. In Topological
inclusion, we have a relationship between a container, area, or temporal duration and that
whichis contained by it. Suppose in the Control Command Police system: (1) the
'Dispatcher' is in the control room, (2) the 'Incident' isin the evening, and (3) The
'Incident'is in Colchester and Essex. In each case,the container surrounds the subject.
However, it is not part of the containerin any meaningful semantic domain. For example,
the 'Dispatcher' is not partof the control room, nor the 'Incident'is not a part of the evening.
Furthermore, the ‘Incident’ is not part of Colchester or Essex.
Guidline-7: The attributes of an object, sometimes, may be confused with aggregation.
Attributes describe theobject as awhole like a black box approach while aggregation
describes the parts thatmake the whole similar to white box approach. In our experience of
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the Control Command Police system (see Fig. 3), the 'Route Planner' have attributes such
as'Incident_Node' and 'Vehicle_Node'.
Guidline-8:Attachment of one object to another object does not guarantee aggregation.
Certainly'GPS Receiver' is attached to the 'Police Vehicle' and they are part of the system;
however, 'Vehicle Radio' or 'Vehicle Stereo' are attached to the Vehicle, but they are not
part of the Vehicle. Note that 'GPS Receiver' providefunctional support to the 'Police
Vehicle', while 'Vehicle Radio' or 'Vehicle Stereo' do not supply any functional orstructural
support in our case study.
Guidline-9:Ownership may sometimes be confused with aggregation. Certainly a 'Police
Vehicle' has a number,and 'GPS Receiver' are part of'Police Vehicle'. However, the fact
that 'Dispatcher' has a vehicle does not implythat the 'Police Vehicle' is part of
‘Dispatcher’. Thus, ownership must be captured by a link.
Guidline-10:Multiple associationsamong objects are possible in which each association
should be used to capture a distinctsemantic meaning. For example, the 'Alarm' and 'Call
Taker' have multiple links in our experience (See Fig. 3).
5.SUMMARY AND CONCLUSION
This paper reviewed therelationships among objects in object-oriented software development and
made five taxonomies for their properties.Mainly, the relationships are three basic types. This
paper presents five taxonomies for properties of the generalization/specialization, association and
aggregation relationships. The first taxonomy is based on temporal view and the second one is
based on structure. The third taxonomy relies on behavioral view and the fourth one is specified on
mathematical view. Finally, the fifth taxonomy related to the interfaces between objects. Moreover,
in this paper the relationships are evaluated in a case study and then several recommendations are
proposed.The main conclusion is that the relationships must capture some concepts that applies to
the problem domain or some sub-domain. They are importantfor software engineers in
implementation.
REFERENCES
[1] Bavota G, Lucia A De, Marcus A, Oliveto R, "Automating extract class refactoring: an improved
method and its evaluation", Empirical Software Engineering, Vol. 19, pp. 1616-1664, 2014.
[2] Beck K. and Cunningham W., "A laboratory for teaching object oriented thinking", OOPSLA '89
Conference proceedings on Object-oriented programming systems, languages and applications, ACM
SIGPLAN Notices, 1989
[3]Booch G., "Object-Oriented Development", IEEE Transaction on Software Engineering, 12 (2), pp.
211-221, 1986
[4] Booch, G., J. Rumbaugh, and I. Jacobson, “The Unified Modeling Language User Guide”, Addison
Wesley, 1998
[5] Booch, G., Rumbaugh J., and Jacobson I., The Unified Software Development
Process,Addison-Wesley, 1998
[6] Bruegge B. and Dutoit A. H., “Object-Oriented Software Engineering: Using UML, Patterns, and
Java”, Pearson Prentice Hall,2010
[7] Canforaa G., Cimitilea A., Luciaa A.D, and Lucca G.A.D., "Decomposing Legacy Systems into
Objects: An Eclectic Approach", Information and Software Technology, Vol. 43, pp. 401-412, 2001
[8] Coad P. and Yourdon E., "Object-Oriented Analysis", Yourdon Press, 1991
[9] Cockburn, A., “Writing Effective Use Cases (Draft 3)”, Addison Wesley Longman, 2000
[10] Deursen A. V, Kuipers T., "Identifying Objects Using Cluster and Concept Analysis", Proc. of 21st
International Conference on Software Engineering, Los Angeles, CA, ACM Press, New York,
pp.246-255, 1999
[11] Fokaefs M., Tsantalis N., Strouliaa E., Chatzigeorgioub A., “Identification And Application Of Extract
Class Refactoring In Object-Oriented Systems “, Journal of Systems and Software, Vol. 85 , pp.
2241–2260, 2012.
13. International Journal of Programming Languages and Applications ( IJPLA ) Vol.5, No.4, October 2015
13
[12] Fowler, M., and Scott K., “UML Distilled A Brief Guide to The Standard Object Modeling Guide”,
2ndEdition,Addison Wesley Longman, Inc, 1999
[13] Goldsein, N. and Alger J..”Developing Object-Oriented Software for the Macintosh Anaiysis, Design,
and Programming”,Addison-Wesley, 1992
[14] Gurp J.V and Bosch J., “Design, Implementation and Evolution of Object-Oriented Frameworks:
Concepts and Guidelines”, Software—Practice and Experience, Vol. 31, pp. 277-300, 2001
[15] Langer M., "Analysis and Design of Information Systems", 3rdEdition, Springer-Verlag London
Limited, 2008
[16] Lee R.C and Tepfenhart W.M., "UML and C++: A Practical Guide to Object-Oriented Development",
2ndEdition, Pearson Prentice Hall, 2005
[17] Martin, J. and J. Odell, Object-Oriented Analysis and Design, Prentice-Hall, 1992
[18] Merriam-Webster Online (2011), Dictionary and Thesaurus, fromhttp:// www.merriam-webster.com
[19] PfleegerS.h., Atlee J.M., "Software Engineering: Theory and Practice", 4th Edition, Pearson, 2010
[20] Pressman R. S., “Software Engineering: A Practitioner's Approach”, 8th Edition, McGraw-Hill, 2015
[21] Rumbaugh, J. "Getting Started: Using Use Cases To Capture Requirements", Object-Oriented
Programming, Vol. 7(5), pp. 8-12, 1994
[22] Rumbaugh, J., Blaha M., Premerlani W., Eddy F., and Lorensen W., “Object-Oriented Modeling and
Design”, Prentice-Hall, 1992
[23] Sommerville Y., “Software Engineering”, 9th Edition, Pearson Education, 2010.
[24] Subhash K.S et al., “NLP based Object-Oriented Analysis and Design from Requirement
Specification”, International Journal of Computer Applications, , Vol. 47 (21), 2012
[25] Winston, M. E., Chaffer R., and Herrmann D., "A Taxonomy of Part-Whole Relations," Cognitive
Science, Vol. 11, pp. 417-444, 1987.
[26] Wirfs-Brock R., "Designing Object-Oriented Software", Prentice-Hall, 1990.
[27] D. Rosenberg, and M. Stephens, "Use Case Driven Object Modeling with UML: Theory and Practice",
Apress, 2007.
[28] Larman, C., "Applying UML and Patterns – An Introduction to Object-Oriented Analysis and Design
and Iterative Development", 3rdedition, Prentice Hall, 2005.
[29] Hu J., Chen L., Qiu S., Liu M., “A New Approach for N-ary Relationships in Object Databases”,
Lecture Notes in Computer Science, Volume 8824, pp. 209-222, 2014