Managing the Testing Process: Practical Tools and Techniques for Managing Hardware and Software Testing
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Managing conflict in software testing
Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
Software Testing, Verification & Reliability
CMMI(R): Guidelines for Process Integration and Product Improvement (2nd Edition) (The SEI Series in Software Engineering)
Estimating Software Costs
Estimating fixing effort and schedule based on defect injection distribution
Software Process: Improvement and Practice - Advances in Software Process Improvement
Orthogonal array application for optimal combination of software defect detection techniques choices
WSEAS Transactions on Computers
Cost effective software test metrics
WSEAS Transactions on Computers
The software quality economics model for software project optimization
WSEAS Transactions on Computers
Optimizing test process action plans by simulated defect removal cost savings
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
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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.