Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Company-Wide Implementation of Metrics for Early Software Fault Detection
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Requirements engineering: In search of the dependent variables
Information and Software Technology
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
Introducing Test Automation and Test-Driven Development: An Experience Report
Electronic Notes in Theoretical Computer Science (ENTCS)
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Power fingerprinting in SDR & CR integrity assessment
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
ECSS standard compliant agile software development: an industrial case study
NSEC '10 Proceedings of the 2010 National Software Engineering Conference
A method for selecting SOA pilot projects including a pilot metrics framework
Proceedings of the 33rd International Conference on Software Engineering
Verification of safety-critical software
Communications of the ACM
Verification of Safety-critical Software
Queue - Data
Regularities in learning defect predictors
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
Scaling agile methods to regulated environments: an industry case study
Proceedings of the 2013 International Conference on Software Engineering
Prediction of faults-slip-through in large software projects: an empirical evaluation
Software Quality Control
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From the Publisher:Suitable for software quality assurance professionals, software engineers, project managers and senior managers, this book is a concise and practical introduction to the basic principles of effective software verification and validation (V&V). This new edition has been thoroughly revised and includes five new chapters and five new appendices focused on management techniques to make your company's software V&V efforts more cost-effective. For Managers, you learn how to help your organization create more accurate estimates and schedules. For practitioners, you learn fundamental software verification and validation practices such as the formal inspection process, configuration management, effective testing techniques, and how to use measurements to drive further process improvements. This easy-to-use resource offers you guidance in essential software V&V techniques and helps you balance the conflicting demands of quality, features, and schedules. You also learn how to balance the conflicting needs of people, process, and product, and manage commitments and risk. Other key topics include: metrics, configuration management, and software reliability growth modeling. The 15 appendices contain checklists for several kinds of inspections, document templates, an outline for a software development process, information on using the "Yellow Sticky Method" for estimating and scheduling, a comparison of software development "Best Practices", Software Quality "Best Practices", Conducting Project Post-Mortems, and Performing Root Cause Analysis.