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CBR for Experimental Software Engineering [PDF]
, 1998 The objective of our work is to exploit the mutual interrelations between case-based reasoning and experimental software engineering (ESE) for the sake of both fields. In particular, we address the following topics: Presentation of a logical infrastructure of organizational learning in the software domain that makes use of principles, methods, and
Klaus-Dieter Althoff +3 more
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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.
B Curtis
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Method mining in experimental software engineering
The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014), 2014In experimental software engineering, particularly in the domain of predicting or identifying some properties (quality, cost, maturity, etc.), many methods have been proposed. The effectiveness of these methods depends on the software domain, the development process and style, etc., so there is no unique adequate method. The necessity of searching some
Shinpei Ogata, Kenji Kaijiri
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Equivalence hypothesis testing in experimental software engineering
Software Quality Journal, 2013This article introduces the application of equivalence hypothesis testing (EHT) into the Empirical Software Engineering field. Equivalence (also known as bioequivalence in pharmacological studies) is a statistical approach that answers the question "is product T equivalent to some other reference product R within some range $$\Updelta$$ ?." The ...
J J Dolado +2 more
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Modeling the Experimental Software Engineering Process
6th International Conference on the Quality of Information and Communications Technology (QUATIC 2007), 2007MIGUEL Goulão, Fernando Brito E Abreu
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Towards Improving Experimentation in Software Engineering
Brazilian Symposium on Software Engineering, 2021[Background:] Experimentation in Software Engineering plays a central role on sharing and verifying scientific findings. As experiments have increased significantly in Software Engineering area, we observe that most of them fail to provide a way to be repeated, replicated or reproduced, thus jeopardizing or delaying the evolution of the Software ...
Edson Oliveira Jr. +6 more
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Experimental validation in software engineering
Information and Software Technology, 1997Although experimentation is an accepted approach toward scientific validation in most scientific disciplines, it only recently has gained acceptance within the software development community. In this paper we discuss a 12-model classification scheme for performing experimentation within the software development domain.
Marvin V. Zelkowitz, Dolores R. Wallace
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Experimental software engineering (STESE)
36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2003Software engineering theory and practice is still to a large extent based more on faith than on science. Only by contributing to the scientific and empirically grounded body of knowledge within a specific area of application, theory and practice can develop.
Karlheinz Kautz, Pekka Abrahamsson
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Experimental software engineering
Proceedings of the 17th international conference on Software engineering - ICSE '95, 1995The goal of this session is to make the software engineering community aware of the opportunities that exist to pursue such an experimental approach. In the remainder of the essay, we describe an emerging model for empirical work and the language for discussing it. We then focus on the current state of experimental software engineering, the road blocks
Lawrence G. Votta, Adam A. Porter
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Experimentation in Software Engineering
1997Abstract Empirical software engineering research can be organized in several ways, including experiments, cases studies, and surveys. Experiments sample over the variables, trying to represent all possible cases; cases studies sample from the variables, representing only the typical cases(s).
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