Software Defect Prediction Using Local and Global AnalysisEditor IJMTER
The software defect factors are used to measure the quality of the software. The software
effort estimation is used to measure the effort required for the software development process. The defect
factor makes an impact on the software development effort. Software development and cost factors are
also decided with reference to the defect and effort factors. The software defects are predicted with
reference to the module information. Module link information are used in the effort estimation process.
Data mining techniques are used in the software analysis process. Clustering techniques are used
in the property grouping process. Rule mining methods are used to learn rules from clustered data
values. The “WHERE” clustering scheme and “WHICH” rule mining scheme are used in the defect
prediction and effort estimation process. The system uses the module information for the defect
prediction and effort estimation process.
The proposed system is designed to improve the defect prediction and effort estimation process.
The Single Objective Genetic Algorithm (SOGA) is used in the clustering process. The rule learning
operations are carried out sing the Apriori algorithm. The system improves the cluster accuracy levels.
The defect prediction and effort estimation accuracy is also improved by the system. The system is
developed using the Java language and Oracle relation database environment.
SETTA'18 Keynote: Intelligent Software Engineering: Synergy between AI and So...Tao Xie
2018 Keynote Speaker, Symposium on Dependable Software Engineering - Theories, Tools and Applications (SETTA 2018). "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://confesta2018.csp.escience.cn/dct/page/65581
On applications of Soft Computing Assisted Analysis for Software ReliabilityAM Publications
Developing high quality reliable software is one of the main challenges in software industry. Software
Reliability is a key concern of many users and developers of software. Demand for software reliability requires robust
modeling techniques for software quality prediction. Software reliability models are very useful to estimate the
probability of failure of software along with the time. In this study we review the available literature on software
reliability. We have also elicited the current trends, existing problems, specific difficulties, future directions and open
areas for research.
ANALYSIS OF DEVELOPMENT COOPERATION WITH SHARED AUTHORING ENVIRONMENT IN ACAD...IJITE
Team work is an important training element of future software engineers. However, the evaluation of the
performance of collaboration among individuals is very subjective. Meanwhile, how to effectively
promote the collaboration in an academic setting is an even more challenging task. The lack of a common
standard or method for the assessment is a practical issue in software engineering projects. With the
rapid development of shared authoring environments, such as Wiki, more and more educational
institutions are studying the adaptability of such kind of collaborative platforms. In order to study the
applicability of adopting wiki-based shared authoring environments in software engineering education,
we have proposed three major research questions. By solving these problems, we try to answer some of
the most important questions in adopting shared authoring platforms in academic settings.
Software Defect Prediction Using Local and Global AnalysisEditor IJMTER
The software defect factors are used to measure the quality of the software. The software
effort estimation is used to measure the effort required for the software development process. The defect
factor makes an impact on the software development effort. Software development and cost factors are
also decided with reference to the defect and effort factors. The software defects are predicted with
reference to the module information. Module link information are used in the effort estimation process.
Data mining techniques are used in the software analysis process. Clustering techniques are used
in the property grouping process. Rule mining methods are used to learn rules from clustered data
values. The “WHERE” clustering scheme and “WHICH” rule mining scheme are used in the defect
prediction and effort estimation process. The system uses the module information for the defect
prediction and effort estimation process.
The proposed system is designed to improve the defect prediction and effort estimation process.
The Single Objective Genetic Algorithm (SOGA) is used in the clustering process. The rule learning
operations are carried out sing the Apriori algorithm. The system improves the cluster accuracy levels.
The defect prediction and effort estimation accuracy is also improved by the system. The system is
developed using the Java language and Oracle relation database environment.
SETTA'18 Keynote: Intelligent Software Engineering: Synergy between AI and So...Tao Xie
2018 Keynote Speaker, Symposium on Dependable Software Engineering - Theories, Tools and Applications (SETTA 2018). "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://confesta2018.csp.escience.cn/dct/page/65581
On applications of Soft Computing Assisted Analysis for Software ReliabilityAM Publications
Developing high quality reliable software is one of the main challenges in software industry. Software
Reliability is a key concern of many users and developers of software. Demand for software reliability requires robust
modeling techniques for software quality prediction. Software reliability models are very useful to estimate the
probability of failure of software along with the time. In this study we review the available literature on software
reliability. We have also elicited the current trends, existing problems, specific difficulties, future directions and open
areas for research.
ANALYSIS OF DEVELOPMENT COOPERATION WITH SHARED AUTHORING ENVIRONMENT IN ACAD...IJITE
Team work is an important training element of future software engineers. However, the evaluation of the
performance of collaboration among individuals is very subjective. Meanwhile, how to effectively
promote the collaboration in an academic setting is an even more challenging task. The lack of a common
standard or method for the assessment is a practical issue in software engineering projects. With the
rapid development of shared authoring environments, such as Wiki, more and more educational
institutions are studying the adaptability of such kind of collaborative platforms. In order to study the
applicability of adopting wiki-based shared authoring environments in software engineering education,
we have proposed three major research questions. By solving these problems, we try to answer some of
the most important questions in adopting shared authoring platforms in academic settings.
Intelligent Software Engineering: Synergy between AI and Software Engineering...Tao Xie
2018 Distinguished Speaker, the UC Irvine Institute for Software Research (ISR) Distinguished Speaker Series 2018-2019. "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://isr.uci.edu/content/isr-distinguished-speaker-series-2018-2019
MSRA 2018: Intelligent Software Engineering: Synergy between AI and Software ...Tao Xie
Invited Talk at the 2018 Computing in the 21st Century Conference & Asia Faculty Summit on MSRA’s 20th Anniversary https://www.microsoft.com/en-us/research/event/computing-in-the-21st-century-conference-asia-faculty-summit-on-msras-20th-anniversary/#!agenda
Industry-Academia Communication In Empirical Software EngineeringPer Runeson
Researchers in software engineering must communicate with industry practitioners, both engineers and managers. Communication may be about collaboration buy-in, problem identification, empirical data collection, solution design, evaluation, and reporting. In order to gain mutual benefit of the collaboration, ensuring relevant research and improved industry practice, researchers and practitioners must be good at communicating. The basis for a researcher to be good at industry-academia communication is firstly to be “bi-lingual”. Understanding and being able to translate between these “languages” is essential. Secondly, it is also about being “bi-cultural”.Understanding the incentives in industry and academia respectively, is a basis for being able to find balances between e.g. rigor and relevance in the research. Time frames is another aspect that is different in the two cultures. Thirdly, the choice of communication channels is key to reach the intended audience.A wide range of channels exist, from face to face meetings, via tweets and blogs, to academic journal papers and theses; each having its own audience and purposes. The keynote speech will explore the challenges of industry-academia communication, based on two decades of collaboration experiences, both successes and failures. It aims to support primarily the academic side of the communication to help achieving industry impact through rigorous and relevant empirical software engineering research.
Challenges and Solutions in Distributed Software Development Project Management: a Systematic Literature Review
Fabio Q. B. da Silva, Catarina Costa, A. César C. França, Rafael Prikladinicki
Abstract-This paper presents a systematic literature review of the challenges, best practices, models, and tools in Distributed Software Development (DSD) Project Management. The objective is to collect and systematize reported knowledge in terms of what are the difficulties in managing DSD projects, what are the best practices to overcome these difficulties, and how existing models and tools support these practices. We found 54 works related to DSD project management, published between 1998 and 2009. Using the data systematically extracted from these works, we propose an evidence-based DSD project management improvement model. Our contention is that this model can support practitioners and researchers to better understand the landscape of DSD project challenges and devise more effective solutions to improve project management in a distributed setting.
Paper presented at Evaluation and Assessment in Software Engineering, Staffordshire, UK, 2010.
http://www.haseresearch.com
Take a trip into the history and future of systems engineering to better understand how we can improve the discipline.
Your host, Dr. Steve Dam, discusses where systems engineering came from and where it is going. He includes discussions on how:
- complexity has changed our methodology
- systems engineering languages have evolved
- technology improvements enable better systems engineering
Multi Agent Based Software Engineering Models : A Review ijseajournal
Software testing is a critical and labor-intensive activity in software engineering. Much research has been
done to help automate test case generation. This research proposes a new approach to structural test case
generation. It uses a specialized genetic algorithm called Dynamic-radius Species-conserving Genetic
Algorithm (DSGA) to find a structurally complete set of test cases for the Triangle Classification algorithm.
DSGA is a Niche Genetic Algorithm (NGA) that uses a short-term memory structure to store optima. Each
individual of the NGA represents the inputs for a test case. The fitness function encourages the algorithm to
locate test cases that cover large areas of the structure of the program. A shared fitness encourages the
NGA to locate other areas of the structure. DSGA is a novel approach to structurally complete test case
generation
Fine–grained analysis and profiling of software bugs to facilitate waste iden...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
SECURING SOFTWARE DEVELOPMENT STAGES USING ASPECT-ORIENTATION CONCEPTSijseajournal
In the past 10 years, the research community has produced a significant number of design notations to
represent security properties and concepts in a design artifact. The need to improve the security of software
has become a key issue for developers.The security function needs to be incorporated into the software
development process at the requirement, analysis, design, and implementation stages as doing so may help
to smooth integration and to protect systems from attack. Security affects all aspects ofa software program,
which makes the incorporation of security features a crosscutting concern. Therefore, this paper looks at
the feasibility and potential advantages of employing an aspect orientation approach in the software
development lifecycle to ensure efficient integration of security.These notations are aimed at documenting
and analyzing security in a software design model. It also proposes a model called the Aspect-Oriented
Software Security Development Life Cycle (AOSSDLC), which covers arrange of security activities and
deliverables for each development stage. It is concluded that aspect orientation is one of the best options
available for installing security features not least because of the benefit that no changes need to be made to
the existing software structure.
An Application-Oriented Approach for Computer Security EducationXiao Qin
In the past few years, numerous universities have incorporated computer security courses into their
undergraduate curricula. Recent studies show that students can effectively gain their knowledge and
experience in building secure computer systems by conducting course projects. However, existing
computer security laboratory exercises are comprised of small-scale, fragmented, and isolated course projects, making it inadequate to prepare undergraduate students to implement real-world secure computing systems. Conventional wisdom in designing computer security course projects pays little
attention to train students to assemble small building blocks into a large-scale secure computing and information system. To overcome students’ lack of experience in implementing large-scale secure software, we propose a novel application-oriented approach to teaching computer security courses by constructing course projects for computer security education. In this pilot project we will develop an extensible application framework for computer security course projects. The framework will provide valuable learning materials that can enable undergraduate students to gain unique experience of building large-scale trustworthy computer systems. Course projects are implemented as plugin modules of an application-based framework. After integrating all the security modules together in the framework, undergraduate students can experiment with various ways of implementing sophisticated
secure computer and information systems.
Synergy of Human and Artificial Intelligence in Software EngineeringTao Xie
Keynote Talk by Tao Xie at International NSF sponsored Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013) http://promisedata.org/raise/2013/
Intelligent Software Engineering: Synergy between AI and Software Engineering...Tao Xie
2018 Distinguished Speaker, the UC Irvine Institute for Software Research (ISR) Distinguished Speaker Series 2018-2019. "Intelligent Software Engineering: Synergy between AI and Software Engineering" http://isr.uci.edu/content/isr-distinguished-speaker-series-2018-2019
MSRA 2018: Intelligent Software Engineering: Synergy between AI and Software ...Tao Xie
Invited Talk at the 2018 Computing in the 21st Century Conference & Asia Faculty Summit on MSRA’s 20th Anniversary https://www.microsoft.com/en-us/research/event/computing-in-the-21st-century-conference-asia-faculty-summit-on-msras-20th-anniversary/#!agenda
Industry-Academia Communication In Empirical Software EngineeringPer Runeson
Researchers in software engineering must communicate with industry practitioners, both engineers and managers. Communication may be about collaboration buy-in, problem identification, empirical data collection, solution design, evaluation, and reporting. In order to gain mutual benefit of the collaboration, ensuring relevant research and improved industry practice, researchers and practitioners must be good at communicating. The basis for a researcher to be good at industry-academia communication is firstly to be “bi-lingual”. Understanding and being able to translate between these “languages” is essential. Secondly, it is also about being “bi-cultural”.Understanding the incentives in industry and academia respectively, is a basis for being able to find balances between e.g. rigor and relevance in the research. Time frames is another aspect that is different in the two cultures. Thirdly, the choice of communication channels is key to reach the intended audience.A wide range of channels exist, from face to face meetings, via tweets and blogs, to academic journal papers and theses; each having its own audience and purposes. The keynote speech will explore the challenges of industry-academia communication, based on two decades of collaboration experiences, both successes and failures. It aims to support primarily the academic side of the communication to help achieving industry impact through rigorous and relevant empirical software engineering research.
Challenges and Solutions in Distributed Software Development Project Management: a Systematic Literature Review
Fabio Q. B. da Silva, Catarina Costa, A. César C. França, Rafael Prikladinicki
Abstract-This paper presents a systematic literature review of the challenges, best practices, models, and tools in Distributed Software Development (DSD) Project Management. The objective is to collect and systematize reported knowledge in terms of what are the difficulties in managing DSD projects, what are the best practices to overcome these difficulties, and how existing models and tools support these practices. We found 54 works related to DSD project management, published between 1998 and 2009. Using the data systematically extracted from these works, we propose an evidence-based DSD project management improvement model. Our contention is that this model can support practitioners and researchers to better understand the landscape of DSD project challenges and devise more effective solutions to improve project management in a distributed setting.
Paper presented at Evaluation and Assessment in Software Engineering, Staffordshire, UK, 2010.
http://www.haseresearch.com
Take a trip into the history and future of systems engineering to better understand how we can improve the discipline.
Your host, Dr. Steve Dam, discusses where systems engineering came from and where it is going. He includes discussions on how:
- complexity has changed our methodology
- systems engineering languages have evolved
- technology improvements enable better systems engineering
Multi Agent Based Software Engineering Models : A Review ijseajournal
Software testing is a critical and labor-intensive activity in software engineering. Much research has been
done to help automate test case generation. This research proposes a new approach to structural test case
generation. It uses a specialized genetic algorithm called Dynamic-radius Species-conserving Genetic
Algorithm (DSGA) to find a structurally complete set of test cases for the Triangle Classification algorithm.
DSGA is a Niche Genetic Algorithm (NGA) that uses a short-term memory structure to store optima. Each
individual of the NGA represents the inputs for a test case. The fitness function encourages the algorithm to
locate test cases that cover large areas of the structure of the program. A shared fitness encourages the
NGA to locate other areas of the structure. DSGA is a novel approach to structurally complete test case
generation
Fine–grained analysis and profiling of software bugs to facilitate waste iden...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
SECURING SOFTWARE DEVELOPMENT STAGES USING ASPECT-ORIENTATION CONCEPTSijseajournal
In the past 10 years, the research community has produced a significant number of design notations to
represent security properties and concepts in a design artifact. The need to improve the security of software
has become a key issue for developers.The security function needs to be incorporated into the software
development process at the requirement, analysis, design, and implementation stages as doing so may help
to smooth integration and to protect systems from attack. Security affects all aspects ofa software program,
which makes the incorporation of security features a crosscutting concern. Therefore, this paper looks at
the feasibility and potential advantages of employing an aspect orientation approach in the software
development lifecycle to ensure efficient integration of security.These notations are aimed at documenting
and analyzing security in a software design model. It also proposes a model called the Aspect-Oriented
Software Security Development Life Cycle (AOSSDLC), which covers arrange of security activities and
deliverables for each development stage. It is concluded that aspect orientation is one of the best options
available for installing security features not least because of the benefit that no changes need to be made to
the existing software structure.
An Application-Oriented Approach for Computer Security EducationXiao Qin
In the past few years, numerous universities have incorporated computer security courses into their
undergraduate curricula. Recent studies show that students can effectively gain their knowledge and
experience in building secure computer systems by conducting course projects. However, existing
computer security laboratory exercises are comprised of small-scale, fragmented, and isolated course projects, making it inadequate to prepare undergraduate students to implement real-world secure computing systems. Conventional wisdom in designing computer security course projects pays little
attention to train students to assemble small building blocks into a large-scale secure computing and information system. To overcome students’ lack of experience in implementing large-scale secure software, we propose a novel application-oriented approach to teaching computer security courses by constructing course projects for computer security education. In this pilot project we will develop an extensible application framework for computer security course projects. The framework will provide valuable learning materials that can enable undergraduate students to gain unique experience of building large-scale trustworthy computer systems. Course projects are implemented as plugin modules of an application-based framework. After integrating all the security modules together in the framework, undergraduate students can experiment with various ways of implementing sophisticated
secure computer and information systems.
Synergy of Human and Artificial Intelligence in Software EngineeringTao Xie
Keynote Talk by Tao Xie at International NSF sponsored Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013) http://promisedata.org/raise/2013/
New research articles 2018 november issue- international journal of softwar...ijseajournal
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
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 software engineering & applications.
ITERATIVE AND INCREMENTAL DEVELOPMENT ANALYSIS STUDY OF VOCATIONAL CAREER INF...ijseajournal
Software development process presents various types of models with their corresponding phases required to be accordingly followed in delivery of quality products and projects. Despite the various expertise and skills of systems analysts, designers, and programmers, systems failure is inevitable when a suitable development process model is not followed. This paper focuses on the Iterative and Incremental Development (IID)model and justified its role in the analysis and design software systems. The paper adopted the qualitative research approach that justified and harnessed the relevance of IID in the context of systems analysis and design using the Vocational
Career Information System (VCIS) as a case study. The paper viewed the IID as a change-driven software development process model. The results showed some system specification, functional specification of system and design specifications that can be used in implementing the VCIS using the IID model. Thus, the paper concluded that in systems analysis and design, it is imperative to consider a suitable development process that reflects the engineering mind-set, with heavy emphasis on good analysis and design for quality assurance.
1. Emergence of Software EngineeringIn the software industry, we.docxjackiewalcutt
1. Emergence of Software Engineering
In the software industry, we have seen the complexity of computer-based systems increase dramatically over the past decades along with advances in technology. This new technology has increased the demand for computer-based systems to control many infrastructures with software. As a result, designing and building cost-effective, reliable, and high-quality software has become the focus of software engineering in the computer industry.
In the past the processes used for designing and developing software were very informal, which contributed to the rise in development and maintenance costs. The results of ad hoc development processes contributed to a higher percentage of unreliable and lesser quality products entering the marketplace. Many accidents resulted from failures in computer-based systems with hardware devices that were controlled with software. At the time, the industry was considered to be in a crisis state, which then led to the emergence of new practices and methods in software engineering.
Technological advances have had a big impact on the complexity level required in software systems. The emergence of new communication protocols, hardware devices, and graphical user interface components have placed a greater demand on software engineers to design quality, reliable, and safe software.
A Brief History of Software Engineering
In the 1950s and the early 1960s, the various engineering disciplines were beginning to analyze how aspects of the engineering field could be applied to methods used in developing software products. As computing power evolved over the decades, the demand increased along with the complexity of the problems that needed to be addressed in the design of software. The term software engineering was introduced in 1968 at the first international software engineering conference, held by the North Atlantic Treaty Organization (NATO) Science Committee (Mahoney 2004). Many practitioners believe this is the milestone that marked the emergence of the software engineering discipline.
Software was developed to control critical hardware devices in the mid- to late-1960s and early 1970s. During this time, cases emerged that involved operational errors and accidents resulting in the loss of human lives and damage to property. Defects in software were uncovered, which heightened public awareness to the need for better quality and reliability of software. The escalating cost of building quality and reliable software was on the rise in the computer industry and the demand for skilled programmers could not be met. The state of software development was viewed by practitioners as being in a "crisis" state and was commonly referred to as the software crisis.
In response to the software crisis, researchers and practitioners have been trying to develop a set of methodologies, processes, and tools as the "silver bullet" for building software. The combination of these methodologies, processes, and tools i ...
Review on Algorithmic and Non Algorithmic Software Cost Estimation Techniquesijtsrd
Effective software cost estimation is the most challenging and important activities in software development. Developers want a simple and accurate method of efforts estimation. Estimation of the cost before starting of work is a prediction and prediction always not accurate. Software effort estimation is a very critical task in the software engineering and to control quality and efficiency a suitable estimation technique is crucial. This paper gives a review of various available software effort estimation methods, mainly focus on the algorithmic model and non algorithmic model. These existing methods for software cost estimation are illustrated and their aspect will be discussed. No single technique is best for all situations, and thus a careful comparison of the results of several approaches is most likely to produce realistic estimation. This paper provides a detailed overview of existing software cost estimation models and techniques. This paper presents the strength and weakness of various cost estimation methods. This paper focuses on some of the relevant reasons that cause inaccurate estimation. Pa Pa Win | War War Myint | Hlaing Phyu Phyu Mon | Seint Wint Thu "Review on Algorithmic and Non-Algorithmic Software Cost Estimation Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26511.pdfPaper URL: https://www.ijtsrd.com/engineering/-/26511/review-on-algorithmic-and-non-algorithmic-software-cost-estimation-techniques/pa-pa-win
· Discussion Assignments You are required to answer one of t.docxoswald1horne84988
· Discussion Assignments
You are required to answer one of the discussion questions in between 500 and 600 words. You will be penalized for having less than 500 words or exceeding 600 words.
· Your essay should be titled using both the number identifier for and the exact wording of the question that you are attempting. This becomes the title/subject of your essay. Do not use your name or the Discussion number as the title/subject of your essay. A penalty of half a point (0.5) penalty will be imposed on a violation of this requirement.
· The relevant Course readings must be referenced using in-text citations (author and page number – MLA style) in every discussion. Non-course materials may be used to supplement the course readings. However, a “Works Cited” with full bibliographic information must be provided for non-course materials. PowerPoint lectures may be used and cited but they are not considered course readings (they are lectures). You will lose a full point for not referencing assigned course readings in your discussion essay. A violation of this requirement will also make you ineligible for a rewrite on the said assignment.
· Your essay must include a word count at the end using this format: Word Count: xxx. This word count excludes the title and references at the end of the essay. You will lose half a point (0.5) for not including a word count at the end of your Discussion essay. A violation of this requirement will also make you ineligible for a rewrite on the assignment.
· You will be penalized half a point (0.5) for falsifying your word count. This will also make you ineligible for a rewrite on the said assignment.
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The Journal of Systems and Software 84 (2011) 328–339
Contents lists available at ScienceDirect
The Journal of Systems and Software
j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / j s s
ser requirements modeling and analysis of software-intensive systems
ichel dos Santos Soares a,∗, Jos Vrancken b, Alexander Verbraeck b
Universidade Federal de Uberlândia, P.O. Box 593, 38400-902 Uberlândia, Brazil
Delft University of Technology, P.O. Box 5015, NL 2600 GA, Delft, The Netherlands
r t i c l e i n f o
rticle history:
eceived 20 July 2010
eceived in revised form 7 October 2010
a b s t r a c t
The increasing complexity of software systems makes Requirements Engineering activities both more
important and more difficult. This article is about user requirements development, mainly the activities
of documenting and analyzing user requirements for software-intensive systems. These are modeling
ccepted 14 October 2010
vailable online 26 October 2010
eywords:
equirements
ML
ysML
activities that are useful for further Requirements Engineering activities. Current techniques for require-
ments modeling present a number of problems and limitations. Based on these shortcomings, a list of
requirement.
Advancing Foundation and Practice of Software AnalyticsTao Xie
Vision Statement Presentation on "Advancing Foundation & Practice of Software Analytics" at the 2nd International NSF sponsored Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013) http://promisedata.org/raise/2013/
A REVIEW OF SECURITY INTEGRATION TECHNIQUE IN AGILE SOFTWARE DEVELOPMENTijseajournal
Agile software development has gained a lot of popularity in the software industry due to its iterative and
incremental approach as well as user involvement. Agile has also been criticized due to lack of its ability to
deliver secure software. In this paper, extensive literature has been performed, in order to highlight the
existing security issues in agile software development. Majority of challenges reported in literature,
occurred due to lack of involvement of security expert. Improving security of a software system without
damaging the real essence of Agile can achieved with the continuous involvement of security engineer
throughout development lifecycle with its defined role and responsibilities.
Development of an Interactive Simulation of Steel Cord Manufacturing for Indu...Gurdal Ertek
We developed an interactive simulation program to be used in industrial engineering education, based on an earlier simulation study of a steel cord manufacturing plant. In the class project, the students are asked to design strategies/algorithms for finding the optimal values of operational decision variables by using the program.
http://research.sabanciuniv.edu.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
EVALUATION OF SOFTWARE DEGRADATION AND FORECASTING FUTURE DEVELOPMENT NEEDS I...ijseajournal
This article is an extended version of a previously published conference paper. In this research, JHotDraw (JHD), a well-tested and widely used open source Java-based graphics framework developed with the best software engineering practice was selected as a test suite. Six versions of this software were profiled, and data collected dynamically, from which four metrics namely (1) entropy (2) software maturity index, COCOMO effort and duration metrics were used to analyze software degradation, maturity level and use
the obtained results as input to time series analysis in order to predict effort and duration period that may
be needed for the development of future versions. The novel idea is that, historical evolution data is used to
project, predict and forecast resource requirements for future developments. The technique presented in
this paper will empower software development decision makers with a viable tool for planning and decision
making.
A survey of predicting software reliability using machine learning methodsIAESIJAI
In light of technical and technological progress, software has become an urgent need in every aspect of human life, including the medicine sector and industrial control. Therefore, it is imperative that the software always works flawlessly. The information technology sector has witnessed a rapid expansion in recent years, as software companies can no longer rely only on cost advantages to stay competitive in the market, but programmers must provide reliable and high-quality software, and in order to estimate and predict software reliability using machine learning and deep learning, it was introduced A brief overview of the important scientific contributions to the subject of software reliability, and the researchers' findings of highly efficient methods and techniques for predicting software reliability.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
1. RESEARCH PROPOSAL A STUDY OF PROPER SOFTWARE ENGINEERING TECHNIQUES AND THE PROBLEMS FACED IF NOT USED CONSISTENTLY THROUGHOUT THE DEVELOPMENT PROCESS Proposal for Direct Research Project in Partial Fulfillmentof the Requirements for the Degree of Master of ScienceInformation Systems – Software Engineering Management Strayer University Submitted By Carol A. Harstad, BS(IS-Pr) 1240 Apopka Lane, Kissimmee, Florida 34759 (863) 427-0890 carol.harstad@mail.strayer.edu Under the direct supervision of: Dr. Mark Ulmer TABLE OF CONTENTS TOC
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INTRODUCTION PAGEREF _Toc235196506 1 Context of the Problem PAGEREF _Toc235196507 1 Statement of the Problem PAGEREF _Toc235196508 1 Research Question and Subquestions PAGEREF _Toc235196509 2 Significance of the Study PAGEREF _Toc235196510 3 METHODOLOGY PAGEREF _Toc235196511 3 Research Design and Methodology PAGEREF _Toc235196512 3 Objectives of the Study PAGEREF _Toc235196513 3 Organization of the Study PAGEREF _Toc235196514 4 TIMETABLE PAGEREF _Toc235196515 5 PROPOSED REFERENCE LIST PAGEREF _Toc235196516 5 INTRODUCTION Context of the Problem What issues will a company face when developing software inappropriately? If not done properly, developing a new software package can be lengthy, taking longer than expected to reach completion. It can also result in low quality, more expensive, and hard to maintain software. Additionally, improper design and planning could possibly lead to disastrous results. I plan to show that by applying proper methods and procedures to the development process, and using the proper tools, an organization can avoid these issues and develop a high quality, less expensive, easier to maintain software in a timely manner (Software Engineering, 2009). The Institute of Electrical and Electronics Engineers (IEEE) defines software engineering as “the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software (The Joint Task Force on Computing Curricula, 2004).” A software engineer “focuses on the computer as a problem-solving tool (Pfleeger & Atlee, 1998).” I will present acceptable software engineering methods, tools, and procedures, and the issues an organization could face if they are not used. Areas of concern included in my study are as follows: modeling, planning and managing, securing the requirements, design, programming, testing, delivering, maintaining, evaluating, and improvement. Statement of the Problem Proper software engineering techniques are required for a high quality software solution. Not using the proper techniques could possibly result in software that is low in quality, expensive, hard to maintain, and take longer to build (Software Engineering, 2009). While most universities teach the proper techniques to their students, many organizations do not use nor teach them, or do not use them consistently, and they pay the price for such practice. Sometimes, an organization will see the deadline, and decide that the proper planning and designing will take too much time they could be using for coding. In essence, what they are doing, is skipping the essential pieces that would inevitably prevent them from back-stepping and reworking. If the organization does not do proper planning and design, they may miss essential pieces to the solution that could possibly end in total and complete disaster. If they miss enough of the solution, they might have to scrap the entire project and start over. The worst possible outcome could be a catastrophic disaster (Glass, 1997). As Long describes, “there are many catastrophic disasters such as the Ariane 5 rocket (Flight 501) (Glass, 1997), the Federal Bureau of Investigation Virtual Case File system (Eggen & Witte, 2006), the Federal Aviation Administration Advanced Automation System (Glass, 1997), the California Department of Motor Vehicle system, the American Airlines reservation system, and many more (Glass, 1997) (Long, 2008).” Research Question and Subquestions The purpose of this research is to determine the following: Is proper and consistent use of software engineering techniques the best approach to the software development process? To answer this question, I will address the following subquestions: What are the knowledge areas for software engineering? What are the basic software development processes? How can we apply proper software engineering techniques to each process? What are the consequences if we do not use some of the techniques in the development processes? Significance of the Study This case is significant because it shows software engineers the importance of, and proper use of techniques, to develop software and what can happen if they do not make use of available tools. As discussed in the context of the problem, if an organization does not properly plan, design, and test an application, catastrophic disasters can occur. METHODOLOGY Research Design and Methodology This research will be a qualitative in nature case study, using literature review, Internet documentation, and personal experience. I currently hold my Bachelors of Science degree in Computer Information Systems, and near completion of the Masters of Science degree in Information Systems with emphasis on Software Engineering Management. Additionally, I have over eighteen years experience with software development in all phases of the process. During this time of learning and doing, I have realized that the learning is a never-ending process and keep an open mind to new technologies and methods. Objectives of the Study Based on the findings of this study, I will show organizations the importance of proper software engineering techniques to create high quality, inexpensive, maintainable software in a timely manner. This study will cover the following: The ten knowledge areas of Software Engineering (SWEBOK, 2004) Software Requirements Software Design Software Development (Construction) Software Testing Software Maintenance Software Configuration Management Software Engineering Management Software Engineering Process Software Engineering Tools and Methods Software Quality Organization of the Study Chapter 1 of this study introduces the problem statement and describes the specific problem I am addressing in the study. Chapter 2 presents a review of literature and relevant research associated with the problem addressed in this study. Chapter 3 discusses the ten knowledge areas of software engineering. Chapter 4 discusses the software development processes. Chapter 5 discusses available software engineering methods and tools, and how to apply them to each of the processes discussed in Chapter 4. Chapter 6 explains the consequences of omitting methods or tools from the development process. Chapter 7 offers a summary and discussion of the researcher's findings, implications for practice, and recommendations for future research. TIMETABLE Prepare proposal by12 July Submit Chapter 1 draft19 July Complete literature review by2 August Complete research chapters23 August Complete summary & conclusion30 August Complete DRP draft6 September Complete final DRP by13 September Complete DRP PowerPoint Presentation20 September PROPOSED REFERENCE LIST BIBLIOGRAPHY Baltzan, P., & Phillips, A. (2009). Business Driven Information Systems (2nd ed.). The McGraw-Hill Companies, Inc.Burd, S. D. (2006). Systems Architecture. Boston, Massachusetts: Thomson.Carnegie Mellon. (2009). Software Engineering Institute. Retrieved July 11, 2009, from Software Engineering Institute: http://www.sei.cmu.edu/Eggen, D., & Witte, G. (2006, August 18). The FBI's Upgrade That Wasn't: $170 Million Bought an Unusable Computer System. The Washington Post , p. A01.Glass, R. L. (1997). Software Runaways: Monumental Software Disasters. Prentice Hall.IEEE Computer Society. (2009, July 11). IEEE: The world's leading professional association. Retrieved July 11, 2009, from IEEE: The world's leading professional association: http://www.ieee.org/portal/siteIEEE-CS/ACM Joint Task Force. (1999, October). Engineering Code of Ethics. Computer Society Connection , 84-88.Leveson, N. G. (2004). Role of Software in Spacecraft Accidents. Journal of Spacecraft and Rockets 4 .Long, L. N. (2008, January). The Critical Need for Software Engineering Education. Retrieved July 11, 2009, from Software Technology Support Center: http://www.stsc.hill.af.mil/Crosstalk/2008/01/0801Long.htmlLowry, G. (2009, June 2). ASP.net Forums: Community. Retrieved July 11, 2009, from Microsoft ASP.net: http://forums.asp.net/p/1429826/3201693.aspxPfleeger, S. L., & Atlee, J. M. (1998). Software Engineering. Upper Saddle River, New Jersey: Pearson Education, Inc.Satzinger, J. W., Jackson, R. B., & Burd, S. D. (2007). Systems Analysis and Design in a Changing World (4th ed.). Boston, Massachusetts: Thomson.Software Engineering. (2009, July 6). Retrieved July 11, 2009, from Wikipedia, The Free Encyclopedia: http://en.wikipedia.org/w/index.php?title=Software_engineering&oldid=300600273Sommerville, I. (2007). Software Engineering (8th ed.). London: Pearson Education Limited.SWEBOK. (2004). Guide to the Software Engineering Body of Knowledge. (A. Abran, J. W. Moore, P. Bourque, & R. Dupuis, Eds.) Los Alamitos, California: The Institute of Electrical and Electronics Engineers, Inc.The Joint Task Force on Computing Curricula. (2004, August 23). Software Engineering 2004. Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering . IEEE Computer Society.U.S. House of Representatives. (2001). Proc. of the Aviation Subcommittee Meeting. Washington, DC.