Evaluating the effectiveness of reliability-assurance techniques
Journal of Systems and Software
Managing the software process
Managing software development projects: formula for success
Managing software development projects: formula for success
Applied software measurement: assuring productivity and quality
Applied software measurement: assuring productivity and quality
Lessons from Three Years of Inspection Data
IEEE Software
Using simulation to build inspection efficiency benchmarks for development projects
Proceedings of the 20th international conference on Software engineering
Validation of an Approach for Improving Existing Measurement Frameworks
IEEE Transactions on Software Engineering
A Comparison of Tool-Based and Paper-Based Software Inspection
Empirical Software Engineering
Empirical evaluation of a fuzzy logic-based software quality prediction model
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
Empirical Performance Analysis of Computer-Supported Code-Reviews
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Peer Reviews in Real Life - Motivators and Demotivators
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Software maintenance productivity assessment using fuzzy logic
ACM SIGSOFT Software Engineering Notes
Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment
Information and Software Technology
Impact of maintainability defects on code inspections
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Optimizing cost and quality by integrating inspection and test processes
Proceedings of the 2011 International Conference on Software and Systems Process
Monitoring the software development process using a short-run control chart
Software Quality Control
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Inspection data is difficult to gather and interpret. At AT&T Bell Laboratories, the authors have defined nine key metrics that software project managers can use to plan, monitor, and improve inspections. Graphs of these metrics expose problems early and can help managers evaluate the inspection process itself. The nine metrics are: total noncomment lines of source code inspected in thousands (KLOC); average lines of code inspected; average preparation rate; average inspection rate; average effort per KLOC; average effort per fault detected; average faults detected per KLOC; percentage of reinspections; defect-removal efficiency.