Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rachel Harrison"'
Autor:
Plinio S. Leitao-Junior, Deuslirio Silva-Junior, Rachel Harrison, Celso G. Camilo-Junior, Altino Dantas
Publikováno v:
SAC
Fault localization is the activity of precisely indicating the faulty commands in a buggy program. It is known to be a highly costly and tedious process. Automating this process has been the goal of many studies, showing it to be a challenging proble
Publikováno v:
EASE
Semi-Supervised Learning (SSL) is a data mining technique which comes between supervised and unsupervised techniques, and is useful when a small number of instances in a dataset are labelled but a lot of unlabelled data is also available. This is the
Publikováno v:
8th EAI International Conference on Mobile Computing, Applications and Services
Iacob, C, Faily, S & Harrison, R 2016, MARAM: tool support for mobile app review management . in F Kawsar, P Zhang & M Musolesi (eds), Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services . Association for Computing Machinery (ACM), pp. 42-50, The 8th EAI International Conference on Mobile Computing, Applications and Services, Cambridge, United Kingdom, 30/11/16 . https://doi.org/10.4108/eai.30-11-2016.2266941
MobiCASE
Iacob, C, Faily, S & Harrison, R 2016, MARAM: tool support for mobile app review management . in F Kawsar, P Zhang & M Musolesi (eds), Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services . Association for Computing Machinery (ACM), pp. 42-50, The 8th EAI International Conference on Mobile Computing, Applications and Services, Cambridge, United Kingdom, 30/11/16 . https://doi.org/10.4108/eai.30-11-2016.2266941
MobiCASE
Mobile apps today have millions of user reviews available online. Such reviews cover a large broad of themes and are usually expressed in an informal language. They pro- vide valuable information to developers, such as feature re- quests, bug reports
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1986265783d68e774a4760b479c158a9
https://eprints.bournemouth.ac.uk/24863/1/manuscript.pdf
https://eprints.bournemouth.ac.uk/24863/1/manuscript.pdf
Publikováno v:
EASE
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Imbalanced data is a common problem in data mining when dealing with classi cation problems, where samples of a class vastly outnumber other classes. In this situation, many data mining algorithms generate poor models as they try to opti- mize the ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a6e0124f9ef64f21ef016bf0aeac27
https://idus.us.es/xmlui/handle/11441/42731
https://idus.us.es/xmlui/handle/11441/42731
Publikováno v:
GECCO
Traditionally, simulation has been used by project managers in optimising decision making. However, current simulation packages only include simulation optimisation which considers a single objective (or multiple objectives combined into a single fit
Publikováno v:
Web2SE@ICSE
In this paper, we describe the preliminary results of a pilot survey conducted to collect information on social media use in global software systems development. We created an on-line survey for developers who are using social media to communicate at