Open Access
Programmer variability
T.E. Dickey
- 01 Jul 1981
12
TL;DR: This letter clarifies the scope of the research, and the conclusions which can be properly drawn from it, as well as clarifying the citations in error.
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Abstract: Existing citations of the Sackman programming research are in error. This letter clarifies the scope of the research, and the conclusions which can be properly drawn from it.
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Citations
A model to evaluate variables impacting the productivity of software maintenance projects
TL;DR: An estimable production frontier model of software maintenance is developed, using a new methodology that allows the simultaneous estimation of both the production frontier and the effects of several productivity factors.
277
Pair programming vs. side-by-side programming
Jerzy Nawrocki,Michal Jasinski,Łukasz Olek,Barbara Lange +3 more
- 09 Nov 2005
TL;DR: In this paper, a comparison of XP-like and side-by-side pair programming styles was performed with 25 students of Computer Science of 4th and 5th year of study.
Predicting performance in computer programming courses
TL;DR: It is revealed that performance in high school and college mathematics and science courses account for up to 50 per cent of the variance in computer programming course performance.
23
An experimental investigation into the process of knowledge-based systems development
S Lee,Robert M. O'Keefe +1 more
TL;DR: The study presented provides some evidence of the anomalies that are generated in the course of system development, and how they relate to internal quality, and a relationship was found between internal quality and usability, but not functionality.
11
References
Measuring the Psychological Complexity of Software Maintenance Tasks with the Halstead and McCabe Metrics
TL;DR: Three software complexity measures (Halstead's E, McCabe's u(G), and the length as measured by number of statements) were compared to programmer performance on two software maintenance tasks and correlated with both the accuracy of the modification and the time to completion.
316
Measurement and experimentation in software engineering
Bill Curtis
- 30 Apr 1980
TL;DR: It is argued that many advances in software engineering will be related to improvements in the measurement and experimental evaluation of software techniques and practices.
165
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