A Practical View of Software Measurement and Implementation Experiences Within Motorola
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Journal of Systems and Software - Special issue on the Oregon Metric Workshop
Communications of the ACM
Implementing Management Metrics: An Army Program
IEEE Software
How the Learning Curve Affects CASE Tool Adoption
IEEE Software
Lessons Learned in Building a Corporate Metrics Program
IEEE Software
Establishing Software Measurement Programs
IEEE Software
Implementing Effective Software Metrics Programs
IEEE Software
A Tale of Two Countries: Case Experiences and Expectations
Proceedings of the IFIP WG8.2 Working Conference on The Impact of Computer Supported Technologies in Information Systems Development
Lessons from Implementing a Software Metrics Program
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 7 - Volume 7
The social construction of the software operation: reinforcing effects in metrics programs
Scandinavian Journal of Information Systems
Predicting acceptance of Software Process Improvement
HSSE '05 Proceedings of the 2005 workshop on Human and social factors of software engineering
The Impact of Institutional Forces on Software Metrics Programs
IEEE Transactions on Software Engineering
Using fault slippage measurement for monitoring software process quality during development
Proceedings of the 2006 international workshop on Software quality
Company-Wide Implementation of Metrics for Early Software Fault Detection
ICSE '07 Proceedings of the 29th international conference on Software Engineering
A software engineering approach for the development of heterogeneous robotic applications
Robotics and Computer-Integrated Manufacturing
Measuring where it matters: Determining starting points for metrics collection
Journal of Systems and Software
A model for software rework reduction through a combination of anomaly metrics
Journal of Systems and Software
Why do programmers avoid metrics?
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Implementing Software Measurement Programs in Non Mature Small Settings
Software Process and Product Measurement
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
Jidoka in software development
Companion to the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
A framework for developing measurement systems and its industrial evaluation
Information and Software Technology
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Gauging acceptance of software metrics: Comparing perspectives of managers and developers
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment
Information and Software Technology
Investigating the impact of a measurement program on software quality
Information and Software Technology
Information and Software Technology
Information Resources Management Journal
Empirical studies for innovation dissemination: ten years of experience
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
The adoption of software measures: A technology acceptance model (TAM) perspective
Information and Management
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Measurement programs in software organizations are an important source of control over quality and cost in software development. The findings of this research presented here are based on an industry-wide survey conducted to examine the factors that influence success in software metrics programs. Our approach is to go beyond the anecdotal information on metrics programs that exists in the literature and use the industry-wide survey data to rigorously test for the effects of various factors that affect metrics programs success. We measure success in metrics programs using two variables驴use of metrics information in decision-making and improved organizational performance. The various determinants of metrics program success are divided into two sets驴organizational variables and technical variables. The influence of these variables on metrics programs success is tested using regression analysis. Our results support some of the factors discussed in the anecdotal literature such as management support, goal alignment, and communication and feedback. Certain other factors such as metrics quality and the ease of data collection are not as strongly influential on success. We conclude the paper with a detailed discussion of our results and suggestions for future work.