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20. The Software-Quality Landscape
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architecture, architecture and detailed design and construction, and construction and system testing. The gate can be a peer review, a customer review, an inspection, a walkthrough, or an audit. A gate does not mean that architecture or requirements need to be 100 percent complete or frozen; it does mean that you will use the gate to determine whether the requirements or architecture are good enough to support downstream development. Good enough might mean that you ve sketched out the most critical 20 percent of the requirements or architecture, or it might mean you ve specified 95 percent in excruciating detail which end of the scale you should aim for depends on the nature of your specific project.
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External audits An external audit is a specific kind of technical review used to determine the status of a project or the quality of a product being developed. An audit team is brought in from outside the organization and reports its findings to whoever commissioned the audit, usually management. Development process Each of the elements mentioned so far has something to do explicitly with assuring software quality and implicitly with the process of software development. Development efforts that include quality-assurance activities produce better software than those that do not. Other processes that aren t explicitly quality-assurance activities also affect software quality. Change-control procedures One big obstacle to achieving software quality is uncontrolled changes. Uncontrolled requirements changes can result in disruption to design and coding. Uncontrolled changes in architecture or design can result in code that doesn t agree with its design, inconsistencies in the code, or the use of more time in modifying code to meet the changing design than in moving the project forward. Uncontrolled changes in the code itself can result in internal inconsistencies and uncertainties about which code has been fully reviewed and tested and which hasn t. Uncontrolled changes in requirements, architecture, design, or code can have all of these effects. Consequently, handling changes effectively is a key to effective product development. Measurement of results Unless results of a quality-assurance plan are measured, you ll have no way of knowing whether the plan is working. Measurement tells you whether your plan is a success or a failure and also allows you to vary your process in a controlled way to see whether it can be improved.
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discussion of software development as a process, see Professional Software Development (McConnell 1994).
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Section 28.2, Configuration Management.
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20. The Software-Quality Landscape
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What gets measured, gets done. Tom Peters
Measurement has a second, motivational, effect. People pay attention to whatever is measured, assuming that it s used to evaluate them. Choose what you measure carefully. People tend to focus on work that s measured and to ignore work that isn t.
1 HARD DATA
Prototyping Prototyping is the development of realistic models of a system s key functions. A developer can prototype parts of a user interface to determine usability, critical calculations to determine execution time, or typical data sets to determine memory requirements. A survey of 16 published and 8 unpublished case studies compared prototyping to traditional, specification-development methods. The comparison revealed that prototyping can lead to better designs, better matches with user needs, and improved maintainability (Gordon and Bieman 1991).
Setting Objectives
Explicitly setting quality objectives is a simple, obvious step in achieving quality software, but it s easy to overlook. You might wonder whether, if you set explicit quality objectives, programmers will actually work to achieve them The answer is, yes, they will, if they know what the objectives are and the objectives are reasonable. Programmers can t respond to a set of objectives that change daily or that are impossible to meet. Gerald Weinberg and Edward Schulman conducted a fascinating experiment to investigate the effect on programmer performance of setting quality objectives (1974). They had five teams of programmers work on five versions of the same program. The same five quality objectives were given to each of the five teams, and each team was told to maximize a different objective. One team was told to minimize the memory required, another was told to produce the clearest possible output, another was told to build the most readable code, another was told to use the minimum number of statements, and the last group was told to complete the program in the least amount of time possible. Here is how each team was ranked according to each objective:
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