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Software Size Estimation of Individual Projects
Parallel and Distributed Computing and Systems / 790: Software Engineering and Applications, 2012Background: Software project size is often used as independent variable for predicting dependent variables such as effort, schedule, costs or risks of software projects. The better the size estimation accuracy, the better the prediction accuracy of dependent variables.
Cuauhtémoc López-Martín +2 more
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Standardization of Software Size Measurement
2009The measurement of software products is an area of software engineering, which cannot be considered as sufficiently mature not only in terms of practice, but also in terms of knowledge maturity. That is why over the last couple of years significant intensification of works could have been observed, which aimed to standardize the best practices of ...
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An algorithm for sizing software products
ACM SIGMETRICS Performance Evaluation Review, 1984This paper reports on efforts to develop a cost forecasting scheme based on a Function Metric called System BANG. A Function Metric is a quantifiable indication of system system size and complexity derived directly from a formal statement of system requirement. Conclusions from a small sample of projects are presented.
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Sizing up today's lightweight software processes
IT Professional, 2001There is a buzz about the new lightweight software development processes. These processes are certainly capable of creating successful software systems faster. As a software developer, which one should you choose for your project? Indeed, today's software development processes bring interesting dynamics to the projects to which developers apply them ...
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Measuring software size by distinct lines
Proceedings., Fourteenth Annual International Computer Software and Applications Conference, 2002The relationship between DLC (distinct line count) and NCSL (noncomment source lines) is studied on a number of programs, and it is found that, as a simple rule of thumb, the NCSL count can be estimated by twice the DLC. A more accurate model is derived by predicting NCSL from DLC and the number of lines that occur exactly once.
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