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E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER I NTRODUCTION TO Q UALITY A SSURANCE C OPYRIGHT © 2012 DSR C ORPORATION
Objectives Understand what is quality Understand the software quality assurance basic notions, processes, and techniques C OPYRIGHT © 2012 DSR C ORPORATION 2
Class Materials Software Engineering Introduction diagrams are available here: Hands-on Exercises are available here: C OPYRIGHT © 2012 DSR C ORPORATION 3
Agenda 1.Software Quality Fundamentals 2.Software Quality Management Processes 3.Software Quality Management Techniques 4.Software Quality Measures C OPYRIGHT © 2012 DSR C ORPORATION 4
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER S OFTWARE Q UALITY F UNDAMENTALS S OFTWARE Q UALITY F UNDAMENTALS C OPYRIGHT © 2012 DSR C ORPORATIONS
Capability Maturity Model Integration C OPYRIGHT © 2012 DSR C ORPORATION
Quality Improvement Building quality through: The prevention and early detection of errors Continuous improvement Customer focus Total Quality Management (TQM) approach The Six Sigma process % of the products manufactured are statistically expected to be free of defects (3.4 defects per million) Management sponsorship Identifying actions and improvement projects to be addressed in a feasible time frame Identify resources to achieve the goal defined for it Proactive activities C OPYRIGHT © 2012 DSR C ORPORATION
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER S OFTWARE Q UALITY M ANAGEMENT P ROCESSES S OFTWARE Q UALITY M ANAGEMENT P ROCESSES C OPYRIGHT © 2012 DSR C ORPORATIONS
Code Review Performed during Inspection or Walk-through Finds the faults that are difficult to find by testing. Latent defect discovery rate: Formal inspection is in the 60-65% range, at most 85% For informal walk-through, the figure is less than 50% For most forms of testing is about 30% Does not replace testing Up to 75% of code review defects affect software maintainability rather than functionality Typical rate is about 150 lines of code per hour Handled according to code review rules C OPYRIGHT © 2012 DSR C ORPORATION
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER S OFTWARE Q UALITY M EASURES S OFTWARE Q UALITY M EASURES C OPYRIGHT © 2012 DSR C ORPORATIONS
Software Complexity Metrics (cont.) C OPYRIGHT © 2012 DSR C ORPORATION Complexity Analysis of Real Time Software Using Software Complexity Metrics to Improve the Quality of Real Time Software. Armin Krusko 11
Summary Software quality has a definite value and cost. Software quality management processes intended to ensure the that quality is built-in into the software. Validation, Verification, and Review processes are the most intensive among them. Various techniques are involved to achieve the Software Quality Management Goals. Static and dynamic are most useful among them. Software quality measures allow us to estimate product quality as well as to plan, control, and improve the quality processes. C OPYRIGHT © 2012 DSR C ORPORATION 12
Questions 1.What is software quality? Why quality is so important? What the software quality cost consists of? 2.What are main software quality characteristics? 3.What are the main software quality management processes? 4.Give the short characteristic of Verification & Validation processes. Provide the examples of the applying of these processes on every stage of Software Life Cycle. Which Software Quality Management techniques are used in these processes? 5.What Reviews and Audits are used for? Which Software Quality Management techniques are used in these processes? 6.Characterize the Software Quality Management techniques. What the every technique allows to achieve and what it its limitaiton? 7.What are the Quality Measurement objectives? What the Software Quality Metrics do you know? C OPYRIGHT © 2012 DSR C ORPORATION 13
References 1.SWEBOK. Guide to the Software Engineering. Body of Knowledge Version / A project of the IEEE Computer Society Professional Practices Committee 2.IEEE Std , IEEE Standard Glossary of Software Engineering Terminology 3.TickITplus certification scheme. 4.Capability Maturity Model Integration (CMMI) 5.ISO 9001:2008. Quality management systems — Requirements 6.ISO/IEC Software engineering — Product quality 7.IEEE/EIA Standard for Information Technology – Software Life Cycle Processes 8.IEEE IEEE Standard for Software Quality Assurance Plan 9.IEEE IEEE Guide for Software Verification and Validation Plans 10.ISO/IEC :2001. Software engineering -- Product quality -- Part 1: Quality model 11.IEEE IEEE Standard for Software Reviews Jones, Capers; Christof, Ebert (April 2009). "Embedded Software: Facts, Figures, and Future“"Embedded Software: Facts, Figures, and Future“ 12.Complexity Analysis of Real Time Software – Using Software Complexity Metrics to Improve the Quality of Real Time Software. Armin Krusko 13.Software Engineering Code of Ethics and Professional Practice (Version 5.2) as recommended by the ACM/IEEE-CS. C OPYRIGHT © 2012 DSR C ORPORATION 14
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER S OFTWARE D ESIGN C OPYRIGHT © 2011 DSR C ORPORATION.
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER T EST D ESIGN T ECHNIQUES C OPYRIGHT © 2012 DSR C ORPORATION.
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER P ROJECT M ANAGEMENT P ROCESSES C OPYRIGHT © 2012 DSR C ORPORATION.
E MBEDDED S YSTEMS S OFTWARE T RAINING C ENTER I NTRODUCTION TO P ROJECT M ANAGEMENT C OPYRIGHT © 2012 DSR C ORPORATION.
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