Software Engineering Economics
Software Engineering Economics
Data Processing Technology and Economics
Data Processing Technology and Economics
Analyzing medium-scale software development
ICSE '78 Proceedings of the 3rd international conference on Software engineering
On building software process models under the lamppost
ICSE '87 Proceedings of the 9th international conference on Software Engineering
A field study of the software design process for large systems
Communications of the ACM
Communications of the ACM - Special issue on analysis and modeling in software development
Software Development Productivity of European Space, Military, and Industrial Applications
IEEE Transactions on Software Engineering
Techies as non-technological factors in software engineering?
ICSE '91 Proceedings of the 13th international conference on Software engineering
How to improve the quality of software engineering project management
ACM SIGSOFT Software Engineering Notes
A comparison of Lisp, Prolog, and Ada programming productivity in AI area
ICSE '85 Proceedings of the 8th international conference on Software engineering
Calculation and use of an environment's characteristic software metric set
ICSE '85 Proceedings of the 8th international conference on Software engineering
Enabling Reuse-Based Software Development of Large-Scale Systems
IEEE Transactions on Software Engineering
Researching the costs of information systems
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Productivity trends in incremental and iterative software development
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Reverse engineering user interfaces for interactive database conceptual analysis
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
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Fourteen factors that influence the efficiency of programming projects were identified in a corporate-wide study of 44 ITT programming projects in nine countries. Productivity factors were classified according to project management's ability to control them. Product-related factors are not generally under the control of project management. They describe intrinsic properties of the programming product and tend to place limitations on achievable productivity. Project-related factors, on the other hand, are controllable by project management to varying degrees. These factors provide real opportunities for productivity improvement. The analysis indicates that productivity variation is almost equally attributable to product-related and project-related factors.