This document discusses requirements modeling in software engineering. It covers creating various models during requirements analysis, including scenario-based models, data models, class-oriented models, flow-oriented models, and behavioral models. These models form the requirements model, which is the first technical representation of a system. The document provides examples of writing use cases and constructing a preliminary use case diagram for a home security system called SafeHome. It emphasizes that requirements modeling lays the foundation for software specification and design.
The document provides information on various quality models and standards including Six Sigma, Total Quality Management (TQM), ISO 9001. It discusses the goals, methodology, and evolution of Six Sigma. It explains the key principles and structure of TQM and ISO 9001. It also provides a case study on how Toyota has implemented TQM based on principles of customer focus, continuous improvement, and total participation.
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
This document discusses function-oriented software design. It explains that function-oriented design represents a system as a set of functions that transform inputs to outputs. The chapter objectives are to explain function-oriented design, introduce design notations, illustrate the design process with an example, and compare sequential, concurrent and object-oriented design strategies. Topics covered include data-flow design, structural decomposition, detailed design, and a comparison of design strategies.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
This document provides an overview of advanced software engineering and software process improvement (SPI). It discusses SPI frameworks like the Capability Maturity Model (CMM) and defines what SPI entails. The document outlines the five activities in the SPI process: assessment and gap analysis, education and training, selection and justification, installation/migration, and evaluation. It also discusses SPI risks, success factors, maturity models, and returns on investment. Finally, it covers the People CMM and trends toward more agile SPI approaches.
This document discusses requirements modeling in software engineering. It covers creating various models during requirements analysis, including scenario-based models, data models, class-oriented models, flow-oriented models, and behavioral models. These models form the requirements model, which is the first technical representation of a system. The document provides examples of writing use cases and constructing a preliminary use case diagram for a home security system called SafeHome. It emphasizes that requirements modeling lays the foundation for software specification and design.
The document provides information on various quality models and standards including Six Sigma, Total Quality Management (TQM), ISO 9001. It discusses the goals, methodology, and evolution of Six Sigma. It explains the key principles and structure of TQM and ISO 9001. It also provides a case study on how Toyota has implemented TQM based on principles of customer focus, continuous improvement, and total participation.
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
This document discusses function-oriented software design. It explains that function-oriented design represents a system as a set of functions that transform inputs to outputs. The chapter objectives are to explain function-oriented design, introduce design notations, illustrate the design process with an example, and compare sequential, concurrent and object-oriented design strategies. Topics covered include data-flow design, structural decomposition, detailed design, and a comparison of design strategies.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
This document provides an overview of advanced software engineering and software process improvement (SPI). It discusses SPI frameworks like the Capability Maturity Model (CMM) and defines what SPI entails. The document outlines the five activities in the SPI process: assessment and gap analysis, education and training, selection and justification, installation/migration, and evaluation. It also discusses SPI risks, success factors, maturity models, and returns on investment. Finally, it covers the People CMM and trends toward more agile SPI approaches.
Modeling requirements involves developing functional requirements from customer views into something translatable to software. Techniques like use cases, state diagrams, UI mockups, storyboards and prototypes are used to understand current systems, business processes, and how users will interact with new systems. The software requirements document specifies what is required of the system and should focus on what the system should do rather than how. Requirements modeling is iterative and requirements change in agile methods.
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
Software engineering a practitioners approach 8th edition pressman solutions ...Drusilla918
Full clear download( no error formatting) at: https://goo.gl/XmRyGP
software engineering a practitioner's approach 8th edition pdf free download
software engineering a practitioner's approach 8th edition ppt
software engineering a practitioner's approach 6th edition pdf
software engineering pressman 9th edition pdf
software engineering a practitioner's approach 9th edition
software engineering a practitioner's approach 9th edition pdf
software engineering a practitioner's approach 7th edition solution manual pdf
roger s. pressman
Black box testing refers to testing software without knowledge of its internal implementation by focusing on inputs and outputs. There are several techniques including boundary value analysis, equivalence partitioning, state transition testing, and graph-based testing. Black box testing is useful for testing functionality, behavior, and non-functional aspects from the end user's perspective.
Prescriptive process models attempt to organize the software development life cycle by defining activities, their order, and relationships. Early models like code-and-fix lacked predictability and manageability. Newer models strive for structure and order to achieve coordination, while allowing for changes as feedback is received. However, relying solely on prescriptive models may be inappropriate in a world that demands flexibility and change.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
Software requirement specification for online examination systemkarthik venkatesh
The document describes the requirements specification for an online examination system. It includes sections on introduction, abstract, existing and proposed systems, hardware and software requirements, project and module description, and various UML diagrams including data flow diagrams, use case diagrams, class diagrams, sequential diagrams, collaboration diagrams, and entity relationship diagrams. The system allows administrators to create exam papers with questions, students to take exams online, and provides exam results. It aims to reduce the time and efforts of conducting exams compared to traditional offline systems.
CASE tools and their effects on software qualityUtkarsh Agarwal
CASE tools can significantly improve software quality by automating tasks, reducing errors, and standardizing development processes. They provide functionality for data modeling, code generation, refactoring, documentation and more. While some aspects like requirements gathering require human input, overall CASE tools improve design, catch issues early, and allow developers to focus on other important work. Proper use of modeling languages and automation can dramatically enhance software quality across all stages of development.
Describes the basic activities of software engineering - specification, design and implementation, validation and evolution.
Accompanies video:
https://www.youtube.com/watch?v=Z2no7DxDWRI
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
Software has evolved from being solely a product designed and built by engineers, to serving a dual role as both a product and vehicle for delivering other products. Originally developed by computer software and services companies in the 1950s-60s, software expanded to computer hardware companies in the 1970s-80s. Today from the 1990s to present, software has transformed how people work, play and communicate on a daily basis by supporting and controlling other programs and communications.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
The document discusses software quality management and outlines five units: introduction to software quality; software quality assurance; quality control and reliability; quality management systems; and quality standards. It defines quality, discusses hierarchical models of quality including those proposed by Boehm and McCall, and explains techniques for improving software quality like metrics, reviews, and standards.
Language and Processors for Requirements Specificationkirupasuchi1996
This document discusses several languages and processors that have been developed for requirements specification in software development. It describes Problem Statement Language (PSL) and its processor, the Problem Statement Analyzer (PSA), which were developed to allow concise statement and automated analysis of requirements. It also discusses the Requirements Statement Language (RSL) and Requirements Engineering Validation System (REVS). Finally, it provides a brief overview of Structured Analysis and Design Technique (SADT), including its data and activity diagram components.
This document discusses software processes and models. It covers the following key points:
1. Software processes involve activities like specification, design, implementation, validation and evolution to develop software systems. Common process models include waterfall, incremental development and reuse-oriented development.
2. Processes need to cope with inevitable changes. This can involve prototyping to avoid rework or using incremental development and delivery to more easily accommodate changes.
3. The Rational Unified Process is a modern process model with phases for inception, elaboration, construction and transition. It advocates iterative development and managing requirements and quality.
The document discusses software quality assurance. It defines SQA as using planned and systematic methods to evaluate software quality, standards, processes, and procedures. This ensures development follows standards and procedures through continuous monitoring, product evaluation, and audits. SQA activities include product evaluation and monitoring to ensure adherence to development plans, as well as product audits to thoroughly review products, processes, and documentation against established standards. Software reviews are used to uncover errors and defects during development in order to "purify" software requirements, design, code, and testing data before release.
The document provides an introduction to software engineering and discusses key concepts such as:
1) Software is defined as a set of instructions that provide desired features, functions, and performance when executed and includes programs, data, and documentation.
2) Software engineering applies scientific knowledge and engineering principles to the development of reliable and efficient software within time and budget constraints.
3) The software development life cycle (SDLC) involves analysis, design, implementation, and documentation phases to systematically develop high quality software that meets requirements.
This document discusses hierarchical models of software quality, including the McCall and Boehm models. The McCall model addresses three areas of software quality: product operation, product revision, and product transition. Product operation focuses on usability, integrity, efficiency, and correctness. Product revision examines testability and maintainability. Product transition considers portability, reusability, and interoperability. The Boehm model defines three levels of quality attributes: primary uses, intermediate constructs, and primitive constructs. Primary uses include as-is utility and maintainability. Intermediate constructs are flexibility, reliability, portability, efficiency, testability, understandability, and usability. Primitive constructs result in measurable properties.
An integrated security testing framework and toolMoutasm Tamimi
The document presents an integrated security testing framework for the secure software development life cycle (SSDLC). The framework includes four main phases: 1) defining security guidelines based on enterprise security requirements for each SSDLC phase, 2) constructing security test cases based on the guidelines, 3) executing test cases by integrating various security testing tools, and 4) converging results from different tools using a meta-vulnerability data model. The framework aims to adopt security activities into each SSDLC phase to improve security, generate test cases, integrate testing tools, and provide accurate results. It was evaluated through prototype testing of 50 software projects.
Modeling requirements involves developing functional requirements from customer views into something translatable to software. Techniques like use cases, state diagrams, UI mockups, storyboards and prototypes are used to understand current systems, business processes, and how users will interact with new systems. The software requirements document specifies what is required of the system and should focus on what the system should do rather than how. Requirements modeling is iterative and requirements change in agile methods.
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
Software engineering a practitioners approach 8th edition pressman solutions ...Drusilla918
Full clear download( no error formatting) at: https://goo.gl/XmRyGP
software engineering a practitioner's approach 8th edition pdf free download
software engineering a practitioner's approach 8th edition ppt
software engineering a practitioner's approach 6th edition pdf
software engineering pressman 9th edition pdf
software engineering a practitioner's approach 9th edition
software engineering a practitioner's approach 9th edition pdf
software engineering a practitioner's approach 7th edition solution manual pdf
roger s. pressman
Black box testing refers to testing software without knowledge of its internal implementation by focusing on inputs and outputs. There are several techniques including boundary value analysis, equivalence partitioning, state transition testing, and graph-based testing. Black box testing is useful for testing functionality, behavior, and non-functional aspects from the end user's perspective.
Prescriptive process models attempt to organize the software development life cycle by defining activities, their order, and relationships. Early models like code-and-fix lacked predictability and manageability. Newer models strive for structure and order to achieve coordination, while allowing for changes as feedback is received. However, relying solely on prescriptive models may be inappropriate in a world that demands flexibility and change.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
Software requirement specification for online examination systemkarthik venkatesh
The document describes the requirements specification for an online examination system. It includes sections on introduction, abstract, existing and proposed systems, hardware and software requirements, project and module description, and various UML diagrams including data flow diagrams, use case diagrams, class diagrams, sequential diagrams, collaboration diagrams, and entity relationship diagrams. The system allows administrators to create exam papers with questions, students to take exams online, and provides exam results. It aims to reduce the time and efforts of conducting exams compared to traditional offline systems.
CASE tools and their effects on software qualityUtkarsh Agarwal
CASE tools can significantly improve software quality by automating tasks, reducing errors, and standardizing development processes. They provide functionality for data modeling, code generation, refactoring, documentation and more. While some aspects like requirements gathering require human input, overall CASE tools improve design, catch issues early, and allow developers to focus on other important work. Proper use of modeling languages and automation can dramatically enhance software quality across all stages of development.
Describes the basic activities of software engineering - specification, design and implementation, validation and evolution.
Accompanies video:
https://www.youtube.com/watch?v=Z2no7DxDWRI
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
Software has evolved from being solely a product designed and built by engineers, to serving a dual role as both a product and vehicle for delivering other products. Originally developed by computer software and services companies in the 1950s-60s, software expanded to computer hardware companies in the 1970s-80s. Today from the 1990s to present, software has transformed how people work, play and communicate on a daily basis by supporting and controlling other programs and communications.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
The document discusses software quality management and outlines five units: introduction to software quality; software quality assurance; quality control and reliability; quality management systems; and quality standards. It defines quality, discusses hierarchical models of quality including those proposed by Boehm and McCall, and explains techniques for improving software quality like metrics, reviews, and standards.
Language and Processors for Requirements Specificationkirupasuchi1996
This document discusses several languages and processors that have been developed for requirements specification in software development. It describes Problem Statement Language (PSL) and its processor, the Problem Statement Analyzer (PSA), which were developed to allow concise statement and automated analysis of requirements. It also discusses the Requirements Statement Language (RSL) and Requirements Engineering Validation System (REVS). Finally, it provides a brief overview of Structured Analysis and Design Technique (SADT), including its data and activity diagram components.
This document discusses software processes and models. It covers the following key points:
1. Software processes involve activities like specification, design, implementation, validation and evolution to develop software systems. Common process models include waterfall, incremental development and reuse-oriented development.
2. Processes need to cope with inevitable changes. This can involve prototyping to avoid rework or using incremental development and delivery to more easily accommodate changes.
3. The Rational Unified Process is a modern process model with phases for inception, elaboration, construction and transition. It advocates iterative development and managing requirements and quality.
The document discusses software quality assurance. It defines SQA as using planned and systematic methods to evaluate software quality, standards, processes, and procedures. This ensures development follows standards and procedures through continuous monitoring, product evaluation, and audits. SQA activities include product evaluation and monitoring to ensure adherence to development plans, as well as product audits to thoroughly review products, processes, and documentation against established standards. Software reviews are used to uncover errors and defects during development in order to "purify" software requirements, design, code, and testing data before release.
The document provides an introduction to software engineering and discusses key concepts such as:
1) Software is defined as a set of instructions that provide desired features, functions, and performance when executed and includes programs, data, and documentation.
2) Software engineering applies scientific knowledge and engineering principles to the development of reliable and efficient software within time and budget constraints.
3) The software development life cycle (SDLC) involves analysis, design, implementation, and documentation phases to systematically develop high quality software that meets requirements.
This document discusses hierarchical models of software quality, including the McCall and Boehm models. The McCall model addresses three areas of software quality: product operation, product revision, and product transition. Product operation focuses on usability, integrity, efficiency, and correctness. Product revision examines testability and maintainability. Product transition considers portability, reusability, and interoperability. The Boehm model defines three levels of quality attributes: primary uses, intermediate constructs, and primitive constructs. Primary uses include as-is utility and maintainability. Intermediate constructs are flexibility, reliability, portability, efficiency, testability, understandability, and usability. Primitive constructs result in measurable properties.
An integrated security testing framework and toolMoutasm Tamimi
The document presents an integrated security testing framework for the secure software development life cycle (SSDLC). The framework includes four main phases: 1) defining security guidelines based on enterprise security requirements for each SSDLC phase, 2) constructing security test cases based on the guidelines, 3) executing test cases by integrating various security testing tools, and 4) converging results from different tools using a meta-vulnerability data model. The framework aims to adopt security activities into each SSDLC phase to improve security, generate test cases, integrate testing tools, and provide accurate results. It was evaluated through prototype testing of 50 software projects.
Best Practices For Business Analyst - Part 3Moutasm Tamimi
The document outlines best practices for business analysts in 2017. It discusses the benefits of having dedicated business analysts on projects and their roles. It provides tips on the relationships between business analysts and project managers, as well as consistency in requirements elicitation. The presentation was given by Moutasm Tamimi and provides an introduction to business analysis practices.
Database Management System - SQL beginner Training Moutasm Tamimi
This document provides an overview of a beginner training on database management systems using SQL language and Microsoft SQL Server Management Studio. The training covers topics such as creating databases and tables, inserting, updating, and deleting data, writing SQL queries, joins, and keys. It is intended to teach SQL fundamentals and practices for working with Microsoft SQL Server versions 2008 through 2014.
Concepts Of business analyst Practices - Part 1Moutasm Tamimi
The document defines various concepts related to business analysis including agile methodology, business analysis, business analyst role, requirements elicitation techniques, and system development lifecycles. It provides definitions for agile, business analysis, business analyst, requirements documents, feasibility studies, use cases, prototypes, and more. It also outlines the roles of project teams including the project owner, business and technical assurance coordinators, and describes techniques like functional decomposition and workflow diagrams. Finally, it introduces the speaker as an independent consultant and instructor on topics like project management, databases, and digital marketing.
The document summarizes a research paper that customizes the ISO 9126 quality model for evaluating B2B applications. It does the following:
1) Extracts quality factors specific to web applications and B2B electronic commerce from literature and weights them from developer and user perspectives.
2) Adds these weighted quality factors to the ISO 9126 model to create a customized model for evaluating B2B applications.
3) Applies the proposed customized model to a case study of a B2B portal to demonstrate how it can be used to evaluate a system and calculate an overall quality score.
A suite of rules for developing and evaluating software quality models jean...IWSM Mensura
The document outlines rules for developing and evaluating software quality models. It discusses problems with existing quality models, such as subjective decomposition of characteristics and lack of rationale for relationships between characteristics. It proposes components of quality models, including characteristics, sub-characteristics, and quality measures. Rules are presented for evaluating models, including aiming for high coverage of suitable characteristics, sub-characteristics, and measures to accurately represent quality. Characteristics must also be logically grouped based on their objectives.
Actually, software products are increasing in a fast way and are used in almost all activities of human life.
Consequently measuring and evaluating the quality of a software product has become a critical task for
many companies. Several models have been proposed to help diverse types of users with quality issues. The
development of techniques for building software has influenced the creation of models to assess the quality.
Since 2000 the construction of software started to depend on generated or manufactured components and
gave rise to new challenges for assessing quality. These components introduce new concepts such as
configurability, reusability, availability, better quality and lower cost. Consequently the models are
classified in basic models which were developed until 2000, and those based on components called tailored
quality models. The purpose of this article is to describe the main models with their strengths and point out
some deficiencies. In this work, we conclude that in the present age, aspects of communications play an
important factor in the quality of software.
This document discusses object-oriented testing methodologies. It provides an overview of the Rumbaugh, Booch, and Jacobson object-oriented design methodologies. It also covers patterns, frameworks, the unified approach to modeling using UML, and various testing strategies like unit testing, integration testing, and validation testing. Quality assurance testing includes debugging, stress testing, and performance testing. Object-oriented concepts like inheritance can impact testing by making some errors less likely while introducing new types of errors. Guidelines for developing test cases include describing the feature under test and testing normal and abnormal use cases.
Measurement and metrics in model driven software developmentSelman Bozkır
The document discusses measurement and metrics in model-driven software development. It summarizes two research papers on this topic. The first paper proposes a model-driven measurement approach that specifies metrics as instances of a metric specification meta-model and generates measurement software from these specifications. The second paper discusses defining metrics for model transformations and embedding them in meta-models to measure improvement in model quality from transformations. Overall, the document outlines approaches for defining and applying metrics in model-driven development.
A comparative studies of software quality model for the software product eval...imdurgesh
Actually, software products are increasing in a fast way and are used in almost all activities of human life.
Consequently measuring and evaluating the quality of a software product has become a critical task for many companies.
Several models have been proposed to help diverse types of users with quality issues. The development of techniques for
building software has influenced the creation of models to assess the quality. Since 2000 the construction of software
started to depend on generated or manufactured components and gave rise to new challenges in assessing quality.
These components introduce new concepts such as configurability, reusability, availability, better quality and lower cost.
Consequently, the models are classified into basic models which were developed until 2000, and those based on
components called tailored quality models. The purpose of this article is to describe the main models with their strengths
and point out some deficiencies. In this work, we conclude that in the present age, aspects of communications play an
important factor in the quality of the software.
Software Quality Engineering is a broad area that is concerned with various approaches to improve software quality. A quality model would prove successful when it suffices the requirements of the developers and the consumers. This research focuses on establishing semantics between the existing techniques related to the software quality engineering and thereby designing a framework for rating software quality.
This document provides course materials for the subject of Software Quality Management taught in the 8th semester of the Computer Science and Engineering department at A.V.C. College of Engineering in Mannampandal, India. It includes the syllabus, course objectives, textbook information, and an introductory section on fundamentals of software quality covering topics like hierarchical quality models, quality measurement, and metrics.
Bio-Inspired Requirements Variability Modeling with use Case ijseajournal
Background.Feature Model (FM) is the most important technique used to manage the variability through products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements modeling levels. Aims. This paper proposes a bio-inspired use case variability modeling methodology dealing with the above shortages.
Method. The methodology is carried out through variable business domain use case meta modeling,
variable applications family use case meta modeling, and variable specific application use case generating.
Results. This methodology has leaded to integrated solutions to the above challenges: it decreases the gap
between computing concepts and real world ones. It supports use case variability modeling by introducing
versions and revisions features and related relations. The variability is supported at three meta levels
covering business domain, applications family, and specific application requirements.
Conclusion. A comparative evaluation with the closest recent works, upon some meaningful criteria in the
domain, shows the conceptual and practical great value of the proposed methodology and leads to
promising research perspectives
BIO-INSPIRED REQUIREMENTS VARIABILITY MODELING WITH USE CASE mathsjournal
Background.Feature Model (FM) is the most important technique used to manage the variability through
products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable
use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of
real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements
modeling levels.
The document discusses various methodologies for comparing software development methodologies. It presents a theoretical model proposed by Song and Osterweil that takes a scientific approach to comparing methodologies. The model involves building process models of the methodologies, classifying components, selecting comparison topics, developing process codes, and making comparisons. It also discusses frameworks like NIMSAD that provide a structured way to evaluate methodologies by examining the problem situation, problem solver, and problem-solving process. The document provides an overview of these comparison methods.
This document discusses various process models for software engineering:
- The waterfall model defines sequential phases of requirements, design, implementation, testing, and maintenance. It is inflexible to change.
- Iterative models allow repetition of phases to incrementally develop software. The incremental model delivers functionality in increments.
- Evolutionary models like prototyping and spiral development use iterative evaluation and refinement of prototypes to evolve requirements and manage risk.
- Other models include component-based development, formal methods, aspect-oriented development, and the Unified Process with iterative development of use cases. Personal and team software processes focus on self-directed teams, planning, metrics, and process improvement.
The document discusses different software process models. It describes the waterfall model, which involves sequential phases of requirement analysis, design, implementation, testing, and maintenance. The waterfall model suggests a systematic approach but real projects rarely follow sequential phases and instead involve overlap and feedback between phases. The document also briefly describes the build-and-fix model, which develops software without specifications or design and relies on repeated modifications until requirements are met.
Pareto-Optimal Search-Based Software Engineering (POSBSE): A Literature SurveyAbdel Salam Sayyad
Paper presented at the 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE’13), San Francisco, USA. May 2013.
This document discusses the use of Model-Driven Architecture (MDA) and model transformations in software product lines (SPL). It begins by introducing SPLs and MDA. SPLs aim to increase productivity by leveraging commonalities between related products. MDA uses platform-independent and platform-specific models with transformations between them. The document then explores combining MDA and SPL approaches through the Modden framework and Baseline-Oriented Modeling. Modden develops reusable core assets through domain and application engineering processes with MDA. Baseline-Oriented Modeling produces expert systems as PRISMA architectural models from SPLs using MDA.
Prescriptive process models attempt to organize the software development life cycle by defining activities, their order, and relationships. Early models like code-and-fix lacked predictability and manageability. Newer models strive for structure and order to achieve coordination, while allowing for changes as more is learned. However, relying solely on prescriptive models may be inappropriate given the need for change in software development.
ISOIEC 9126Software engineering — Product quality was an intern.docxpriestmanmable
ISO/IEC 9126Software engineering — Product quality was an international standard for the evaluation of software quality. It has been replaced by ISO/IEC 25010:2011. The fundamental objective of the ISO/IEC 9126 standard is to address some of the well known human biases that can adversely affect the delivery and perception of a software development project. These biases include changing priorities after the start of a project or not having any clear definitions of "success." By clarifying, then agreeing on the project priorities and subsequently converting abstract priorities (compliance) to measurable values (output data can be validated against schema X with zero intervention), ISO/IEC 9126 tries to develop a common understanding of the project's objectives and goals.
Quality model
The quality model presented in the first part of the standard, ISO/IEC 9126-1, classifies software quality in a structured set of characteristics and sub-characteristics as follows:
1. Functionality - A set of attributes that bear on the existence of a set of functions and their specified properties. The functions are those that satisfy stated or implied needs.
a. Suitability
b. Accuracy
c. Interoperability
d. Security
e. Functionality Compliance
2. Reliability - A set of attributes that bear on the capability of software to maintain its level of performance under stated conditions for a stated period of time.
a. Maturity
b. Fault Tolerance
c. Recoverability
d. Reliability Compliance
3. Usability - A set of attributes that bear on the effort needed for use, and on the individual assessment of such use, by a stated or implied set of users.
a. Understandability
b. Learnability
c. Operability
d. Attractiveness
e. Usability Compliance
4. Efficiency - A set of attributes that bear on the relationship between the level of performance of the software and the amount of resources used, under stated conditions.
a. Time Behaviour
b. Resource Utilization
c. Efficiency Compliance
5. Maintainability - A set of attributes that bear on the effort needed to make specified modifications.
a. Analyzability
b. Changeability
c. Stability
d. Testability
e. Maintainability Compliance
6. Portability - A set of attributes that bear on the ability of software to be transferred from one environment to another.
a. Adaptability
b. Installability
c. Co-Existence
d. Replaceability
e. Portability Compliance
· Quality in use metrics.
Quality in use metrics is only available when the final product is used in real conditions.
Ideally, the internal quality determines the external quality and external quality determines quality in use.
This standard stems from the GE model for describing software quality, presented in 1977 by McCall et al., which is organized around three types of Quality Characteristics:
· Factors (To specify): They describe the external view of the software, as viewed by the users.
· Criteria (To build): They describe the internal view of the software, as seen by the develop ...
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Similar to Software Quality Models: A Comparative Study paper (20)
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ISO 29110 model in 2017
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Using C# language
By Microsoft visual studio program
version 2008-2010-2012-2014
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
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- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
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What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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* Importance and benefits of vector search
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* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
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• Q/A
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
HCL Notes and Domino License Cost Reduction in the World of DLAU
Software Quality Models: A Comparative Study paper
1. Software Quality Models:
A Comparative Study paper
Summarized in 2017
Presented by: Moutasm tamimi
Software Quality
Al-Badareen, Anas Bassam, et al. "Software Quality Models: A Comparative Study." ICSECS (1). 2011.
2. Outline
■ Abstract
■ Introduction
■ Background
■ McCall, Boehm, FURPS, Dromey, and ISO (Comparisons)
■ This study intends to
■ McCall Model
■ Boehm Model
■ FURPS Model
■ Dromey (1995) Model
■ ISO IEC 9126 Model
■ ISO IEC 9126 Model Advantages
■ The Comparison Method
■ Case Study
■ Result and Discussion
■ The values
■ Conclusion
3. Abstract
The models were proposed to evaluate general or specific scopes of software products.
■ The proposed models were developed based on comparisons between the well-known
models, in order to customize the closed model to the intended scope.
■ These comparisons are leak of criteria that is conducted based on different perspectives
and understanding.
■ Therefore, a formal method of comparison between software quality models is
proposed.
■ The proposed method is applied on a comprehensive comparison between well-known
software quality models.
■ The result of the proposed method shows the strength and weaknesses of those models.
5. Introduction
■ McCall [2] model was developed in 1976-7, which is one of the oldest software quality models.
This model started with a volume of 55 quality characteristics which have an important
influence on quality, and called them "factors".
■ The quality factors were compressed into eleven main factors in order to simplify the model.
■ The quality of software products was defined according to three major perspectives,
– product revision (ability to undergo changes),
– product transition (adaptability to new environments) and
– product operations (its operation characteristics).
■ Boehm model[4], the model was based on McCall model, he defined the second set of quality
factors.
■ SPARDAT is a commercial quality model was developed in the banking environment.The
model classified three significant factors: applicability, maintainability, and adaptability.
6. McCall, Boehm, FURPS, Dromey, and ISO
(Comparisons)
■ The method of develop a software quality models is started based on comparisons
between selected well-known models in order to customize the closed model to the
intended scope.
■ Comparisons based on the factors levels:
7. This study intends to
■ Develop a formal method that can be used to compare and differentiate between software
quality models mathematically.
■ Help to avoid any contradictions that may occur during development.
■ help to define a standard basic for developing a software quality model.
■ The paper have the following:
– Section two: Quality Models Background
– Section three: Comparison Method
– Section four: CaseStudy
– Section Five: Result and Discussion
8. McCall Model
external
factors
product
quality
criteria
Assess the
relationships
Classified in three major
types
External view of
the software (11
factors )
Internal view of
the software (23
quality criteria)
user view developer
view
Metrics to provide a
scale and method for
measurement
factors reduced to eleven
Correctness, Reliability, Efficiency, Integrity, Usability,
Maintainability,Testability, Flexibility, Portability,
Reusability, and Interoperability.
Adv:The major contribution of this model the
relationship between the quality characteristics
and metrics
Dis adv: model not consider directly on the
functionality of software products
9. Boehm Model
new factors to McCall’s
maintainability of software product
Adv: Address the contemporary shortcomings of models
that automatically and quantitatively evaluate the quality
of software
Adv: Represents the characteristics of the software product
hierarchically in order to get contribute in the total quality
Dis adv: model contains only a diagram without any
suggestion about measuring the quality characteristics.
10. FURPS Model
user’s
requirements
Functional (F) and
non-functional
requirements (NF)
Characteristics were
classified
(F) Defined by input
and expected
output
(NF) URPS): Usability,
reliability,
performance,
supportability.
Adv: this model considered only the user’s
requirements and disregards the developer
consideration
Dis adv: the model fails to take into account
the software some of the product
characteristics, such as portability and
maintainability
11. Dromey (1995) Model
Adv: model broad enough to work for different systems
To increase
understanding
of relationship
Attributes
(characteristics)
sub-attributes (sub-
characteristics)
model defined
two layers
high-level
attributes
subordinate
attributes
Dis adv: this model suffers from lack of criteria for
measurement of software quality
dynamic process
modelling
12. ISO IEC 9126 Model
confusion happened and new standard model
Standard for
quality
assurance
ISO
9000
ISO 9126
ISO/IEC JTC1 began to develop the required consensus and encourage standardization world-wide.
Software
product quality
attributes
classified
hierarchical tree
structure
characteristic
s
Sub
characteristic
s
Six (Functionality, Reliability, Usability,
Efficiency, Maintainability and Portability)
Is used as part of a computer system, and are
the result of internal software attributes
highest level of the structure
consists of the quality characteristics
lowest level consists of the software
quality criteria.
13. ISO IEC 9126 ModelAdvantages
The characteristics are applicable to every kind of software
Provide a framework for making trade-offs between software product capabilities
14. The Comparison Method
Assigning values Factors comparison Models comparison
model selection
Depends on the scope intended to
be evaluated
Well-known software quality models
are considered in developing a new
model
Factors Selection
are collected and combined in one
structural tree (Fa, Fb…Fn)
the sub factors are combined
under their factors (S1, S2, Sn).
FactorsWeighting
the weight of factors
(W1, W2…….Wn) and
sub factor (Wa,
Wb……Wm) are
assigned
FactorsValues
the value of the same factor within the
selected models is calculated (Formula 1)
the total value of each model is calculated
(Formula 2), based on the calculated
values of their factors.
The Comparison
total value for each
factor is compared
between the selected
models
It consists of four main tasks Model selection
15.
16. Case Study
The comparison shows the main differences between these models.The following steps are
followed in order to perform the task:
– Step 1: combine the factors of the selected models and remove the repeated
– Step 2: combine the sub-factors for each factor
– Step 3: assign the weight for each factor
– Step 4: assign the weight for each sub factor Step
– 5: calculate the weight for each factor in every model independently
– Step 6: compare the values of same factors in all of the selected models
17. Result and Discussion
■ This study was to collect the factors that included by selected models and remove the
repeated according to the definition of each of them.
■ The second step is combining the sub-factors from all of the models for specific
factor.
■ The repeated sub characteristics were removed according to the definition of each of
them.
18. The values
■ The values were seated equivalently which gave 50% of the value to present whether
the factor is included in the model, whereas 25% was given if the characteristic is
included as a sub factor.
■ Because of the generality of this comparison which not considered any type of
software or any specific software domain, the value of the factors are same.
■ the values for each factor within the same model are calculated according to the same
formula that was used to calculate the values of the factors.
19. The total value for each model
■ Table 2 presents the total value for each model, whereas figure 2 shows the graphical
presentation of these values.
22. Conclusion
■ Each model was discussed in details, the advantages and disadvantages were expressed.
■ Comprehensive comparison between the selected models was presented.The comparison
goes behind the definitions of the software quality factors into sub factors and criteria.
■ New comparison method was proposed, in order to get clear and accurate differences
between software quality models.
■ The comparison was basic on mathematical formula, in order to show graphically the
differences between those models.
■ This method requires assign values for the sub factors moreover the main factors. Which is
gave a clear picture of the differences between the models
23. Speaker Information
Moutasm tamimi
Independent consultant , IT Researcher , CEO at ITG7
Instructor of: Project Development.
DBMS.
.NET applications.
Digital marketing.
Email: tamimi@itg7.com
LinkedIn: click here.