Managing programming productivity
Journal of Systems and Software
Software engineering metrics and models
Software engineering metrics and models
Software metrics: establishing a company-wide program
Software metrics: establishing a company-wide program
Tutorial programming productivity: issues for the eighties, 2nd ed.
Tutorial programming productivity: issues for the eighties, 2nd ed.
Evaluating Software Engineering Technologies
IEEE Transactions on Software Engineering
Time-Sensitive Cost Models in the Commercial MIS Environment
IEEE Transactions on Software Engineering
Improving Software Productivity
Computer
Applied software measurement: assuring productivity and quality
Applied software measurement: assuring productivity and quality
Practical software metrics for project management and process improvement
Practical software metrics for project management and process improvement
Empirical studies of assumptions that underlie software cost-estimation models
Information and Software Technology
Derivation and validation of software metrics
Derivation and validation of software metrics
Assessment and control of software risks
Assessment and control of software risks
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Measuring Programmer Productivity and Software Quality
Measuring Programmer Productivity and Software Quality
Software Engineering Economics
Software Engineering Economics
The Mythical Man-Month: Essays on Softw
The Mythical Man-Month: Essays on Softw
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Measures for Excellence: Reliable Software on Time, within Budget
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IEEE Transactions on Software Engineering
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ICSE '84 Proceedings of the 7th international conference on Software engineering
A meta-model for software development resource expenditures
ICSE '81 Proceedings of the 5th international conference on Software engineering
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IEEE Transactions on Software Engineering
A Procedure for Analyzing Unbalanced Datasets
IEEE Transactions on Software Engineering
Explaining the cost of European space and military projects
Proceedings of the 21st international conference on Software engineering
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
Benchmarking Software-Development Productivity
IEEE Software
Engineering software reuse for on-board embedded real-time systems
Software—Practice & Experience
Maintainability Myth Causes Performance Problems in SMP Application
APSEC '99 Proceedings of the Sixth Asia Pacific Software Engineering Conference
Early Prediction of Project Schedule Slippage
ASSET '98 Proceedings of the 1998 IEEE Workshop on Application - Specific Software Engineering and Technology
Architecture-level modifiability analysis (ALMA)
Journal of Systems and Software
Preliminary Data Analysis Methods in Software Estimation
Software Quality Control
Optimal Project Feature Weights in Analogy-Based Cost Estimation: Improvement and Limitations
IEEE Transactions on Software Engineering
Using industry based data sets in software engineering research
Proceedings of the 2006 international workshop on Summit on software engineering education
Productivity analysis of Japanese enterprise software development projects
Proceedings of the 2006 international workshop on Mining software repositories
Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects
FLOSS '07 Proceedings of the First International Workshop on Emerging Trends in FLOSS Research and Development
The productivity of large business information system development
International Journal of Business Information Systems
Evaluation of preliminary data analysis framework in software cost estimation based on ISBSG R9 Data
Software Quality Control
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Software development productivity of Japanese enterprise applications
Information Technology and Management
Software development productivity on a new platform: an industrial case study
Information and Software Technology
An investigation of software development productivity in China
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Monetary pricing of software development risks: A method and empirical illustration
Journal of Systems and Software
Measuring and predicting software productivity: A systematic map and review
Information and Software Technology
Automatic mining of change set size information from repository for precise productivity estimation
Proceedings of the 2011 International Conference on Software and Systems Process
Understanding the influential factors to development effort in chinese software industry
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
Software Engineering Productivity: Concepts, Issues and Challenges
International Journal of Information Technology Project Management
International Journal of Open Source Software and Processes
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The identification, combination, and interaction of the many factors which influence software development productivity makes the measurement, estimation, comparison and tracking of productivity rates very difficult. Through the analysis of a European Space Agency database consisting of 99 software development projects from 37 companies in 8 European countries, this paper seeks to provide significant and useful information about the major factors which influence the productivity of European space, military, and industrial applications, as well as to determine the best metric for measuring the productivity of these projects. Several key findings emerge from the study. The results indicate that some organizations are obtaining significantly higher productivity than others. Some of this variation is due to the differences in the application category and programming language of projects in each company; however, some differences must also be due to the ways in which these companies manage their software development projects. The use of tools and modern programming practices were found to be major controllable factors in productivity improvement. Finally, the lines-of-code productivity metric is shown to be superior to the process productivity metric for projects in our database.