Prototype software complexity metrics tools
ACM SIGSOFT Software Engineering Notes
An Analysis of Several Software Defect Models
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Analyzing Error-Prone System Structure
IEEE Transactions on Software Engineering
The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
An annotated bibliography on software maintenance
ACM SIGSOFT Software Engineering Notes
Predictive Modeling Techniques of Software Quality from Software Measures
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Information systems modeling: an object oriented development method
WADAS '92 Proceedings of the ninth Washington Ada symposium on Ada: Empowering software users and developers
Software testing: a machine learning experiment
CSC '95 Proceedings of the 1995 ACM 23rd annual conference on Computer science
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A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Functional lists: object-oriented design classes for MIS applications
WADAS '90 Proceedings of the seventh Washington Ada symposium on Ada
Proceedings of the Conference on The Future of Software Engineering
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Proceedings of the 2002 ACM symposium on Applied computing
The Optimal Class Size for Object-Oriented Software
IEEE Transactions on Software Engineering
Early Risk-Management by Identification of Fault-prone Modules
Empirical Software Engineering
Software Errors and Software Maintenance Management
Information Technology and Management
Error Density and Size in Ada Software
IEEE Software
Reexamining the Fault Density-Component Size Connection
IEEE Software
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
An empirical evaluation of system and regression testing
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Ensuring System and Software Reliability in Safety-Critical Systems
ASSET '98 Proceedings of the 1998 IEEE Workshop on Application - Specific Software Engineering and Technology
Software Reliability Analysis of Three Successive Generations of a Telecommunications System
ASSET '98 Proceedings of the 1998 IEEE Workshop on Application - Specific Software Engineering and Technology
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ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
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CASCON '93 Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1
IEEE Transactions on Software Engineering
Software faults: a quantifiable definition
Advances in Engineering Software
Reducing TCB complexity for security-sensitive applications: three case studies
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Applying machine learning to software fault-proneness prediction
Journal of Systems and Software
Interval quality: relating customer-perceived quality to process quality
Proceedings of the 30th international conference on Software engineering
Theory of relative defect proneness
Empirical Software Engineering
On a Quest for Good Process Models: The Cross-Connectivity Metric
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Modeling success in FLOSS project groups
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
A Case Study of Defect Introduction Mechanisms
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Software faults: A quantifiable definition
Advances in Engineering Software
Simulating families of studies to build confidence in defect hypotheses
Information and Software Technology
Testing the theory of relative defect proneness for closed-source software
Empirical Software Engineering
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A major portion of the effort expended in developing commercial software today is associated with program testing. Schedule and/ or resource constraints frequently require that testing be conducted so as to uncover the greatest number of errors possible in the time allowed. In this paper we describe a study undertaken to assess the potential usefulness of various product-and process-related measures in identifying error-prone software. Our goal was to establish an empirical basis for the efficient utilization of limited testing resources using objective, measurable criteria. Through a detailed analysis of three software products and their error discovery histories, we have found simple metrics related to the amount of data and the structural complexity of programs to be of value for this purpose.