Software Quality Management - Introduction


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Quality software refers to a software which is reasonably bug or defect free, is delivered in time and within the specified budget, meets the requirements and/or expectations, and is maintainable. In the software engineering context, software quality reflects both functional quality as well as structural quality.

  • Software Functional Quality − It reflects how well it satisfies a given design, based on the functional requirements or specifications.

  • Software Structural Quality − It deals with the handling of non-functional requirements that support the delivery of the functional requirements, such as robustness or maintainability, and the degree to which the software was produced correctly.

  • Software Quality Assurance − Software Quality Assurance (SQA) is a set of activities to ensure the quality in software engineering processes that ultimately result in quality software products. The activities establish and evaluate the processes that produce products. It involves process-focused action.

  • Software Quality Control − Software Quality Control (SQC) is a set of activities to ensure the quality in software products. These activities focus on determining the defects in the actual products produced. It involves product-focused action.

The Software Quality Challenge

In the software industry, the developers will never declare that the software is free of defects, unlike other industrial product manufacturers usually do. This difference is due to the following reasons.

Product Complexity

It is the number of operational modes the product permits. Normally, an industrial product allows only less than a few thousand modes of operation with different combinations of its machine settings. However, software packages allow millions of operational possibilities. Hence, assuring of all these operational possibilities correctly is a major challenge to the software industry.

Product Visibility

Since the industrial products are visible, most of its defects can be detected during the manufacturing process. Also the absence of a part in an industrial product can be easily detected in the product. However, the defects in software products which are stored on diskettes or CDs are invisible.

Product Development and Production Process

In an industrial product, defects can be detected during the following phases −

  • Product development − In this phase, the designers and Quality Assurance (QA) staff checks and tests the product prototype to detect its defects.

  • Product production planning − During this phase, the production process and tools are designed and prepared. This phase also provides opportunities to inspect the product to detect the defects that went unnoticed during the development phase.

  • Manufacturing − In this phase, QA procedures are applied to detect failures of products themselves. Defects in the product detected in the first period of manufacturing can usually be corrected by a change in the product’s design or materials or in the production tools, in a way that eliminates such defects in products manufactured in future.

However, in the case of software, the only phase where defects can be detected is the development phase. In case of software, product production planning and manufacturing phases are not required as the manufacturing of software copies and the printing of software manuals are conducted automatically.

The factors affecting the detection of defects in software products versus other industrial products are shown in the following table.

Characteristic Software Products Other Industrial Products
Complexity Millions of operational options thousand operational options
visibility of product Invisible Product Difficult to detect defects by sight Visible Product Effective detection of defects by sight
Nature of development and production process can defect defects in only one phase can detect defects in all of the following phases
  • Product development
  • Product production planning
  • Manufacturing

These characteristics of software such as complexity and invisibility make the development of software quality assurance methodology and its successful implementation a highly professional challenge.



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