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Measurement and experimentation in software engineering
Proceedings of the IEEE, 1980The contributions of measurement and experimentation to the state of the art in software engineering are reviewed. The role of measurement in developing theoretical models is discussed, and concerns for reliability and validity are stressed. Current approaches to measuring software characteristics are presented as examples.
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Methodology and experimental research in software engineering
International Journal of Man-Machine Studies, 1982There has been a very rapid increase in the use of psychological experimentation as a method for addressing problems in the area of software engineering. However, there is a total lack of understanding on how to use this technique effectively so that the results of the experiment will have both validity and wide applicability. This paper describes what
Thomas Moher, G. Michael Schneider
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Genetic algorithms to support software engineering experimentation
2005 International Symposium on Empirical Software Engineering, 2005., 2005Empirical software engineering is concerned with running experimental studies in order to establish a broad knowledge base to assist software developers in evaluating models, methods and techniques. Running multiple experimental studies is mandatory, but complex and the cost is high.
R.E. Garcia +2 more
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An experimental card game for teaching software engineering
Proceedings 16th Conference on Software Engineering Education and Training, 2003. (CSEE&T 2003)., 2003The typical software engineering course consists of lectures in which concepts and theories are conveyed, along with a small "toy" software engineering project which attempts to give students the opportunity to put this knowledge into practice. Although both of these components are essential, neither one provides students with adequate practical ...
A. Baker, E.O. Navarro, A. van der Hoek
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Keynote on “Experimental software engineering”
2000This presentation offers a view of software development based upon building knowledge through model building, experimentation, and learning. It treats the study of software engineering as a laboratory science. To this end, various abstraction techniques, experimental designs, and learning methods must evolve to support this paradigm.
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Identifying Experimental Incidents in Software Engineering Replications
2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013The Empirical Software Engineering community is taking a growing interest in replicating experiments, but replications still pose a challenge for researchers. To be able to do better replications, we require detailed knowledge of what happens when a replication is performed.
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Knowledge-Sharing Issues in Experimental Software Engineering
Empirical Software Engineering, 2004Recently the awareness of the importance of replicating studies has been growing in the empirical software engineering community. The results of any one study cannot simply be extrapolated to all environments because there are many uncontrollable sources of variation between different environments. In our work, we have reasoned that the availability
Forrest Shull +7 more
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Experimental software engineering should concentrate on software evolution
1993For the future of software engineering it is critical that we devote sufficient energies to software evolution commensurate with its socioeconomic implications. We propose that the area of experimental software engineering focus more on software analysis and understanding to reflect the needs of large, evolving software systems properly.
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Applications of Knowledge Acquisition in Experimental Software Engineering
1999Many tasks in experimental software engineering (ESE) involve the acquisition of knowledge. Only for very few of them systematic knowledge acquisition (KA) practices have been established. It is expected that these ESE tasks can be accomplished more effectively if the application of appropriate systematic KA methods is fostered.
Birk, A., Surmann, D., Althoff, K.-D.
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An Experimental Project Course in Software Engineering
1976In another paper in this volume, we discussed some of the major industry needs for software engineering expertise which were not being provided within the traditional computer science curriculum. These included a familiarity with software requirements engineering and preliminary design, with data processing economics, with applications software ...
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