Results 211 to 220 of about 530,929 (263)

Experimental software engineering

Proceedings of the 17th international conference on Software engineering - ICSE '95, 1995
The 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 Porter
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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 OliveiraJr, Viviane Furtado, Henrique Vignando, Carlos Luz, André Cordeiro, Igor Steinmacher, Avelino Zorzo   +6 more
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Experimental software engineering (STESE)

36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2003
Software 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.
K. Kautz, P. Abrahamsson
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Experimental designs in software engineering

Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research, 2004
For over a century, Design of Experiment (DOE) techniques have been applied to testing in large problem domains such as agriculture, chemistry, medicine, and industrial design. Recently, the application of DOE has appeared in component-based software testing.
Dean Hoskins, Renée C. Turban, Charles J. Colbourn   +2 more
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Experimental validation in software engineering

Information and Software Technology, 1997
Although 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 Wallace
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Method mining in experimental software engineering

The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014), 2014
In 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
Hideaki Uchimiya, Shinpei Ogata, Kenji Kaijiri   +2 more
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CBR for Experimental Software Engineering

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, Andreas Birk, Christiane Gresse von Wangenheim, Carsten Tautz   +3 more
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Empirical Software Engineering Experimentation with Human Computation

2020
Empirical software engineering (ESE) focuses on gathering evidence through measurements and experiments involving humans and software systems (software products, processes, and resources). While empirical studies often include considerable human effort for study planning, execution, and data analysis, human computation (HC) methods, such as ...
Marta Sabou, Dietmar Winkler, Stefan Biffl   +2 more
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Experimentation in Software Engineering

1997
Abstract 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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