Software engineering metrics and models
Software engineering metrics and models
A study of software management: the state of practice in the United States and Japan
Journal of Systems and Software
Software Development Productivity of European Space, Military, and Industrial Applications
IEEE Transactions on Software Engineering
Improving Speed and Productivity of Software Development: A Global Survey of Software Developers
IEEE Transactions on Software Engineering
Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
Benchmarking Software-Development Productivity
IEEE Software
An Empirical Analysis of Software Productivity over Time
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Productivity analysis of Japanese enterprise software development projects
Proceedings of the 2006 international workshop on Mining software repositories
A replicated empirical study of a selection method for software reliability growth models
Empirical Software Engineering
A Replicated Quantitative Analysis of Fault Distributions in Complex Software Systems
IEEE Transactions on Software Engineering
An empirical study of the impact of team size on software development effort
Information Technology and Management
Replicating studies on cross- vs single-company effort models using the ISBSG Database
Empirical Software Engineering
Towards a model to support in silico studies of software evolution
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Software Engineering Productivity: Concepts, Issues and Challenges
International Journal of Information Technology Project Management
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To clarify the relationship between software development productivity and the attributes of a software project, such as business area, programming language and team size, this paper analyzed 211 enterprise application development projects in Japan using a software engineering data repository established by the Software Engineering Center (SEC), Information-Technology Promotion Agency, Japan. In the analysis, we first identified factors that related to productivity based on a parallel coordinate plot (PCP) and a one-way ANOVA. An in-depth analysis on each productivity factor was then conducted by selecting a project subset for each factor so that the effect of other factors is minimized. Our findings include that the average team size was the strongest attribute relating to productivity. The outsourcing ratio (percentage), which can be controlled by software development companies, and the business sector both showed a moderate relationship to productivity. Finally, product size (FP), the duration of development and the programming language were only weakly related to productivity.