Optimality and Stability Criteria for Software Testing Process Control Model

摘要

The software development industry spends more than half of its budget on maintenance related activities. Software testing provides a means to reduce errors, cut maintenance and overall software costs. Software testing involves the process of detecting software discrepancies so that they can be corrected before they are installed into a live environment supporting operational business units. Early in the history of software development, testing was confined to testing the finished code, but, testing is more of a quality control mechanism. However, as the practice of software development has evolved, there has been increasing interest in expanding the role of testing upwards in the SDLC stages, embedding testing throughout the systems development process. Numerous software development and testing methodologies, tools, and techniques have emerged over the last few decades promising to enhance software quality. While it can be argued that there has been some improvement it is apparent that many of the techniques and tools are isolated to a specific lifecycle phase or functional area. This paper presents a set of best practice models and techniques integrated in optimized and quantitatively managed software testing process (OptimalSQM), expanding testing throughout the SDLC. Further, we explained how can Quantitative Defect Management (QDM) Model be enhanced to be practically useful for determining which activities need to be addressed to improve the degree of early and cost-effective software fault detection with assured confidence, then optimality and stability criteria of very complex STP dynamics problem control is proposed.