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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.
K. Kautz, P. Abrahamsson
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Experimental designs in software engineering
Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research, 2004For 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 +2 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 Wallace
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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
Hideaki Uchimiya +2 more
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CBR for Experimental Software Engineering
1998The 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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Empirical Software Engineering Experimentation with Human Computation
2020Empirical 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 +2 more
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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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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 ...
José Javier Dolado +2 more
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Software Engineering for Experimental Robotics
2007This book collects contributions that describe the state of the art in software development for the Robotics domain. It reports on innovative ideas that are progressively introduced in the software development process, in order to promote the reuse of robotic software artifacts: domain engineering, components, frameworks and architectural styles.
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Experimental Software Engineering: A New Conference
IEEE Software, 2006An interesting issue facing software engineering relates to the evidence for adopting new techniques, tools, languages methodologies, and so on. We shouldn't always reject new models based on pure argument and logic, but ideally, we should subject such developments to some form of validation.
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