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pro vyhledávání: '"Juristo, N. (Natalia)"'
Software Engineering (SE) experiments are traditionally analyzed with statistical tests (e.g., t-tests, ANOVAs, etc.) that assume equally spread data across groups (i.e., the homogeneity of variances assumption). Differences across groups’ variance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::b61dfc85830ed2c2fb943a7b0421f6cb
http://urn.fi/urn:nbn:fi-fe2018121150500
http://urn.fi/urn:nbn:fi-fe2018121150500
Autor:
Dieste, O. (Oscar), Aranda, A. (Alejandrina), Uyaguari, F. (Fernando), Turhan, B. (Burak), Tosun, A. (Ayse), Fucci, D. (Davide), Oivo, M. (Markku), Juristo, N. (Natalia)
This extended abstract summarizes an article, which has been published in the Empirical Software Engineering Journal and was selected for the Journal-First presentations at the International Conference on Software and System Process (ICSSP 2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::9dab9ce958194e21d3e90b90234fe9a1
http://urn.fi/urn:nbn:fi-fe2020052639156
http://urn.fi/urn:nbn:fi-fe2020052639156
Experimentation is a key issue in science and engineering. But it is one of software engineering’s stumbling blocks. Quite a lot of experiments are run nowadays, but it is a risky business. Software engineering has some special features, leading to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::46bf90e2dce1b40338ad8822170fd242
http://urn.fi/urn:nbn:fi-fe202003208602
http://urn.fi/urn:nbn:fi-fe202003208602
Autor:
Santos Parrilla, A. (Adrian)
Context: Experiments are commonplace in software engineering (SE). Still, two main limitations impact their suitability to assess the effectiveness of SE treatments (i.e., methods, processes, and tools): (1) their results are restricted to the config
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::a8d8a2885f2ab8acaf013bbde1c7a09a
http://urn.fi/urn:isbn:9789526225456
http://urn.fi/urn:isbn:9789526225456