Search convincing evidence in Software Engineering studies

What makes elegant, valid, useful and convincing evidence? Find the answer to this question has been the work field for decades by various researchers. In the literature there is a number of papers on Empirical Software Engineering and discussed in countless discussions, workshops, conferences and s...

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Main Authors: Alan Dunkel, Alice Gödel
Format: Article
Language:Spanish
Published: Instituto Antioqueño de Investigación (IAI) 2015-06-01
Series:Revista Antioqueña de las Ciencias Computacionales y la Ingeniería de Software (RACCIS)
Subjects:
Online Access:http://fundacioniai.org//raccis/v5n1/n8a4.pdf
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spelling doaj-257ff3c1460b441d9446cdd69fbd8c9d2020-11-25T00:20:55ZspaInstituto Antioqueño de Investigación (IAI)Revista Antioqueña de las Ciencias Computacionales y la Ingeniería de Software (RACCIS)2248-74412015-06-01512531Search convincing evidence in Software Engineering studies Alan Dunkel0Alice Gödel1Instituto Tecnológico de MassachusettsInstituto Tecnológico de MassachusettsWhat makes elegant, valid, useful and convincing evidence? Find the answer to this question has been the work field for decades by various researchers. In the literature there is a number of papers on Empirical Software Engineering and discussed in countless discussions, workshops, conferences and special issues of journals. This article presents a reflection on the evidence; is reviewed progress in Software Engineering and attempts to answer questions such as: What is the good that has been done so far? Where will the related research? The findings show that: 1) find about convincing evidence is harder than you may think, 2) Software Engineering researchers have to work together as a community and share their achievements, and 3) it must be acknowledged that convincing evidence is a specific component context, because that is convincing for someone may not be for others. Consequently, we must be prepared to reinterpret and rescan each time you disclose something about.http://fundacioniai.org//raccis/v5n1/n8a4.pdfComputer Scienceempirical researchsoftware communitysoftware projects
collection DOAJ
language Spanish
format Article
sources DOAJ
author Alan Dunkel
Alice Gödel
spellingShingle Alan Dunkel
Alice Gödel
Search convincing evidence in Software Engineering studies
Revista Antioqueña de las Ciencias Computacionales y la Ingeniería de Software (RACCIS)
Computer Science
empirical research
software community
software projects
author_facet Alan Dunkel
Alice Gödel
author_sort Alan Dunkel
title Search convincing evidence in Software Engineering studies
title_short Search convincing evidence in Software Engineering studies
title_full Search convincing evidence in Software Engineering studies
title_fullStr Search convincing evidence in Software Engineering studies
title_full_unstemmed Search convincing evidence in Software Engineering studies
title_sort search convincing evidence in software engineering studies
publisher Instituto Antioqueño de Investigación (IAI)
series Revista Antioqueña de las Ciencias Computacionales y la Ingeniería de Software (RACCIS)
issn 2248-7441
publishDate 2015-06-01
description What makes elegant, valid, useful and convincing evidence? Find the answer to this question has been the work field for decades by various researchers. In the literature there is a number of papers on Empirical Software Engineering and discussed in countless discussions, workshops, conferences and special issues of journals. This article presents a reflection on the evidence; is reviewed progress in Software Engineering and attempts to answer questions such as: What is the good that has been done so far? Where will the related research? The findings show that: 1) find about convincing evidence is harder than you may think, 2) Software Engineering researchers have to work together as a community and share their achievements, and 3) it must be acknowledged that convincing evidence is a specific component context, because that is convincing for someone may not be for others. Consequently, we must be prepared to reinterpret and rescan each time you disclose something about.
topic Computer Science
empirical research
software community
software projects
url http://fundacioniai.org//raccis/v5n1/n8a4.pdf
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