Software Engineering Notes
Unit Notes
Unit I: Introduction to Software Engineering
Definition of Software Engineering, S/W characteristics, applications, Software development life cycle; Life Cycle Models - Waterfall (classical and iterative), Spiral, Prototyping & RAD Models, Software processes, Process Models - overview Agile Model and Various Agile methodologies - Scrum, XP, Lean, and Kanban. Scope of each model and their comparison in real-world case studies.
Unit II: Requirements Modelling and Design
System and software requirements; Requirements Engineering - Crucial steps; types of requirements, Functional and non-functional requirements; Domain requirements; User requirements; Elicitation and analysis of requirements; Requirements documentation - Nature of Software, Software requirements specification, Use case diagrams with guidelines, DFD, SRS Structure, SRS Case study, Design concepts and principles - Abstraction - Refinement - Modularity, Cohesion, coupling, Architectural design, Detailed Design Transaction Transformation, Refactoring of designs, Object-oriented Design, User-Interface Design.
Unit III: Software Reliability
Introduction to Software Reliability; Hardware reliability vs. Software reliability; Reliability metrics; Failure and Faults - Prevention, Removal, Tolerance, Forecast; Dependability Concept - Failure Behavior, Characteristics, Maintenance Policy; Reliability and Availability Modeling; Reliability Evaluation Testing methods, Limits, Starvation, Coverage, Filtering; Microscopic Model of Software Risk; Classes of software reliability Models; Statistical reliability models; Reliability growth models; Defining and interpreting reliability metrics; Fault Detection and Prevention; Techniques for detecting and mitigating software faults; Static analysis tools and techniques; Dynamic analysis methods; Software Fault Tolerance; Software Maintenance and Reliability; Reliability Assessment and Evaluation; Methods for assessing and quantifying software reliability; Case Studies and Real-world Applications.
Unit IV: Software Testing, Metrics and Quality Assurance
Testing types and techniques such as black box, white box, and gray box testing, functional and structural testing; Test-driven development, code coverage, and quality metrics; Testing process, design of Test cases, testing techniques - boundary value analysis - equivalence class testing - decision table testing, cause-effect graphing, path testing, data flow testing, and mutation testing. Unit, integration, system, alpha, and beta testing, debugging techniques; verification and validation techniques, levels of testing, regression testing, quality management activities, product and process quality standards (ISO9000, CMM), metrics understanding (process, product, project metrics), size metrics (LOC, Function Count, Albrecht FPA), product metrics, metrics for software maintenance, cost estimation techniques (static, single variable, multivariable models), cost-benefit evaluation techniques, Testing tools and standards such as Jira and Selenium, test automation frameworks and tools (Selenium, Appium, JUnit), performance testing and load testing, and defect management and root cause analysis.
Unit IV: Software Testing PDF
Additional Unit IV testing notes covering testing techniques, test case design, testing levels, debugging, verification, validation, automation tools, defect handling, and quality-focused testing practices.
Unit V: Software Quality and Risk Management
McCall quality factors, ISO and CMM Model, Tools and Techniques for Quality Control, Pareto Analysis, Statistical Sampling, Quality Control Charts and the seven Run Rule. Modern Quality Management, Risk Management - importance, types, process and phases, qualitative and quantitative risk analysis, Risk Analysis and Assessment, Risk Strategies, Risk Monitoring and Control, Risk Response and Evaluation. Software Reliability: Reliability Metrics, Reliability Growth Modeling. Use Case: Defect Tracking and Management. Test Automation Tools: Jira, Selenium, Appium; JUnit.