SUMMARY Software quality assurance is an umbrella activity that is applied at each step in the
8.12 SUMMARY Software quality assurance is an umbrella activity that is applied at each step in the
software process. SQA encompasses procedures for the effective application of meth- ods and tools, formal technical reviews, testing strategies and techniques, poka-yoke devices, procedures for change control, procedures for assuring compliance to stan- dards, and measurement and reporting mechanisms.
SQA is complicated by the complex nature of software quality—an attribute of computer programs that is defined as "conformance to explicitly and implicitly spec- ified requirements." But when considered more generally, software quality encom- passes many different product and process factors and related metrics.
Software reviews are one of the most important SQA activities. Reviews serve as filters throughout all software engineering activities, removing errors while they are relatively inexpensive to find and correct. The formal technical review is a stylized meeting that has been shown to be extremely effective in uncovering errors.
To properly conduct software quality assurance, data about the software engi- neering process should be collected, evaluated, and disseminated. Statistical SQA helps to improve the quality of the product and the software process itself. Software reliability models extend measurements, enabling collected defect data to be extrap- olated into projected failure rates and reliability predictions.
In summary, we recall the words of Dunn and Ullman [DUN82]: "Software quality assurance is the mapping of the managerial precepts and design disciplines of qual- ity assurance onto the applicable managerial and technological space of software engineering." The ability to ensure quality is the measure of a mature engineering discipline. When the mapping is successfully accomplished, mature software engi- neering is the result.
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[ANS87] ANSI/ASQC A3-1987, Quality Systems Terminology, 1987. [ART92] Arthur, L.J., Improving Software Quality: An Insider's Guide to TQM, Wiley, 1992. [ART97] Arthur, L.J., “Quantum Improvements in Software System Quality, CACM, vol. 40, no. 6, June 1997, pp. 47–52. [BOE81] Boehm, B., Software Engineering Economics, Prentice-Hall, 1981. [CRO79] Crosby, P., Quality Is Free, McGraw-Hill, 1979. [DEM86] Deming, W.E., Out of the Crisis, MIT Press, 1986. [DEM99] DeMarco, T., “Management Can Make Quality (Im)possible,” Cutter IT Sum- mit, Boston, April 1999. [DIJ76]
Dijkstra, E., A Discipline of Programming, Prentice-Hall, 1976. [DUN82] Dunn, R. and R. Ullman, Quality Assurance for Computer Software, McGraw- Hill, 1982. [FRE90] Freedman, D.P. and G.M. Weinberg, Handbook of Walkthroughs, Inspections and Technical Reviews, 3rd ed., Dorset House, 1990. [GIL93] Gilb, T. and D. Graham, Software Inspections, Addison-Wesley, 1993. [GLA98] Glass, R., “Defining Quality Intuitively,” IEEE Software, May 1998, pp. 103– 104, 107. [HOY98] Hoyle, D., ISO 9000 Quality Systems Development Handbook: A Systems Engi- neering Approach, Butterworth-Heinemann, 1998. [IBM81] “Implementing Software Inspections,” course notes, IBM Systems Sciences Institute, IBM Corporation, 1981. IEE94]
Software Engineering Standards, 1994 ed., IEEE Computer Society, 1994. [JAN86] Jahanian, F. and A.K. Mok, "Safety Analysis of Timing Properties of Real- Time Systems”, IEEE Trans. Software Engineering, vol. SE-12, no. 9, September 1986, pp. 890–904. [JON86] Jones, T.C., Programming Productivity, McGraw-Hill, 1986. [KAN95] Kan, S.H., Metrics and Models in Software Quality Engineering, Addison- Wesley, 1995. [KAP95] Kaplan, C., R. Clark, and V. Tang, Secrets of Software Quality: 40 Innovations from IBM, McGraw-Hill, 1995. [LEV86] Leveson, N.G., "Software Safety: Why, What, and How," ACM Computing Sur- veys, vol. 18, no. 2, June 1986, pp. 125–163. [LEV87] Leveson, N.G. and J.L. Stolzy, "Safety Analysis Using Petri Nets, IEEE Trans. Software Engineering, vol. SE-13, no. 3, March 1987, pp. 386–397. [LEV95] Leveson, N.G., Safeware: System Safety And Computers, Addison-Wesley, 1995. [LIN79] Linger, R., H. Mills, and B. Witt, Structured Programming, Addison-Wesley, 1979.
CHAPTER 8 S O F T WA R E Q U A L I T Y A S S U R A N C E
[LIT89] Littlewood, B., “Forecasting Software Reliability,” in Software Reliability: Mod- eling and Identification, (S. Bittanti, ed.), Springer-Verlag, 1989, pp. 141–209. [MUS87] Musa, J.D., A. Iannino, and K. Okumoto, Engineering and Managing Software with Reliability Measures, McGraw-Hill, 1987. [POR95] Porter, A., H. Siy, C.A. Toman, and L.G. Votta, "An Experiment to Assess the Cost-Benefits of Code Inspections in Large Scale Software Development," Proc. Third ACM SIGSOFT Symposium on the Foundations of Software Engineering, Washington, D.C., October 1996, ACM Press, pp. 92–103. [ROB97] Robinson, H., “Using Poka-Yoke Techniques for Early Error Detection,” Proc. Sixth International Conference on Software Testing Analysis and Review (STAR'97), 1997, pp. 119–142. [ROO90] Rook, J., Software Reliability Handbook, Elsevier, 1990. [SCH98] Schulmeyer, G.C. and J.I. McManus (eds.), Handbook of Software Quality Assurance, 3rd ed., Prentice-Hall, 1998. [SCH94] Schmauch, C.H., ISO 9000 for Software Developers, ASQC Quality Press, 1994. [SCH97] Schoonmaker, S.J., ISO 9001 for Engineers and Designers, McGraw-Hill, 1997. [SHI86] Shigeo Shingo, Zero Quality Control: Source Inspection and the Poka-yoke System, Productivity Press, 1986. [SOM96] Somerville, I., Software Engineering, 5th ed., Addison-Wesley, 1996. [VES81] Veseley, W.E., et al., Fault Tree Handbook, U.S. Nuclear Regulatory Com- mission, NUREG-0492, January 1981.
Parts
» The Concurrent Development Model
» SUMMARY Software engineering is a discipline that integrates process, methods, and tools for
» PEOPLE In a study published by the IEEE [CUR88], the engineering vice presidents of three
» THE PROCESS The generic phases that characterize the software process—definition, development,
» THE PROJECT In order to manage a successful software project, we must understand what can go
» METRICS IN THE PROCESS AND PROJECT DOMAINS
» Extended Function Point Metrics
» METRICS FOR SOFTWARE QUALITY
» INTEGRATING METRICS WITHIN THE SOFTWARE PROCESS
» METRICS FOR SMALL ORGANIZATIONS
» ESTABLISHING A SOFTWARE METRICS PROGRAM
» Obtaining Information Necessary for Scope
» An Example of LOC-Based Estimation
» QUALITY CONCEPTS 1 It has been said that no two snowflakes are alike. Certainly when we watch snow
» SUMMARY Software quality assurance is an umbrella activity that is applied at each step in the
» R diagram 1.4 <part-of> data model; data model <part-of> design specification;
» SYSTEM MODELING Every computer-based system can be modeled as an information transform using an
» Facilitated Application Specification Techniques
» Data Objects, Attributes, and Relationships
» Entity/Relationship Diagrams
» Hatley and Pirbhai Extensions
» Creating an Entity/Relationship Diagram
» SUMMARY Design is the technical kernel of software engineering. During design, progressive
» Data Modeling, Data Structures, Databases, and the Data Warehouse
» Data Design at the Component Level
» A Brief Taxonomy of Styles and Patterns
» Quantitative Guidance for Architectural Design
» Isolate the transform center by specifying incoming and outgoing
» SUMMARY Software architecture provides a holistic view of the system to be built. It depicts the
» The User Interface Design Process
» Defining Interface Objects and Actions
» D E S I G N E VA L U AT I O N
» Testing for Real-Time Systems
» Organizing for Software Testing
» Criteria for Completion of Testing
» The Transition to a Quantitative View
» The Attributes of Effective Software Metrics
» Architectural Design Metrics
» Component-Level Design Metrics
» SUMMARY Software metrics provide a quantitative way to assess the quality of internal product
» Encapsulation, Inheritance, and Polymorphism
» Identifying Classes and Objects
» The Common Process Framework for OO
» OO Project Metrics and Estimation
» Event Identification with Use-Cases
» SUMMARY Object-oriented analysis methods enable a software engineer to model a problem by
» Partitioning the Analysis Model
» Designing Algorithms and Data Structures
» Program Components and Interfaces
» SUMMARY Object-oriented design translates the OOA model of the real world into an
» Testing Surface Structure and Deep Structure
» Deficiencies of Less Formal Approaches 1
» What Makes Cleanroom Different?
» Design Refinement and Verification
» SUMMARY Cleanroom software engineering is a formal approach to software development that
» Structural Modeling and Structure Points
» Describing Reusable Components
» SUMMARY Component-based software engineering offers inherent benefits in software quality,
» Guidelines for Distributing Application Subsystems
» Middleware and Object Request Broker Architectures
» An Overview of a Design Approach
» Consider expert Web developer will create a complete design, but time and cost can be appropriate
» A Software Reengineering Process Model
» Reverse Engineering to Understand Data
» Forward Engineering for Client/Server Architectures
» SUMMARY Reengineering occurs at two different levels of abstraction. At the business level,
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