Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Chris Lokan"'
Publikováno v:
EASE
Background: Using design metrics to predict fault-prone elements of a software design can help to focus attention on classes that need redesign and more extensive testing. However, some design metrics have been pointed out to be theoretically invalid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a2446b007142649099ebc1f7086940f
https://doi.org/10.1145/3383219.3383243
https://doi.org/10.1145/3383219.3383243
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 1:27-40
Autonomous systems are making their way to the market. The transition from tasks performed by humans to tasks performed by machines begs for an answer to one of the most challenging questions in this area of research: Will humans understand and trust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d2df1e5ec2aa43d78315ccf38f63c68
https://doi.org/10.1109/tetci.2016.2641929
https://doi.org/10.1109/tetci.2016.2641929
Publikováno v:
Computational Intelligence. 33:554-578
Ensemble methods aim at combining multiple learning machines to improve the efficacy in a learning task in terms of prediction accuracy, scalability, and other measures. These methods have been applied to evolutionary machine learning techniques incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58c081bea20fd3fd2499521ac64fd7c
https://doi.org/10.1111/coin.12099
https://doi.org/10.1111/coin.12099
Autor:
Emilia Mendes, Chris Lokan
Publikováno v:
Empirical Software Engineering. 22:716-767
To date most research in software effort estimation has not taken chronology into account when selecting projects for training and validation sets. A chronological split represents the use of a project's starting and completion dates, such that any m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08d0233210e75b36b8a1ee0a23edafc1
https://doi.org/10.1007/s10664-016-9446-4
https://doi.org/10.1007/s10664-016-9446-4
Autor:
Chris Lokan, Sousuke Amasaki
Publikováno v:
APSEC
CONTEXT: Several studies in effort estimation havefound that it can be effective to use only recent project data for building an effort estimation model. The generality of this timeaware approach has been explored across a variety of effort estimatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d27deff259d59d76771307e40d210a04
https://doi.org/10.1109/apsec.2017.105
https://doi.org/10.1109/apsec.2017.105
Autor:
Sousuke Amasaki, Chris Lokan
Publikováno v:
Product-Focused Software Process Improvement ISBN: 9783319699257
PROFES
PROFES
CONTEXT: Studies have shown contradictory results on the effectiveness of using a moving window of only the most recent projects for effort estimation, compared to using the full history of past data. Moving windows improved the accuracy of effort es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb7f67f28865d71a65dbe36ea1e8197
https://doi.org/10.1007/978-3-319-69926-4_6
https://doi.org/10.1007/978-3-319-69926-4_6
Autor:
Chris Lokan, Emilia Mendes
Publikováno v:
Information and Software Technology. 56:1063-1075
Context Most research in software effort estimation has not considered chronology when selecting projects for training and testing sets. A chronological split represents the use of a projects starting and completion dates, such that any model that es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465451c69da84053fd9efd7464d8b7ae
https://doi.org/10.1016/j.infsof.2014.02.008
https://doi.org/10.1016/j.infsof.2014.02.008
Autor:
Chris Lokan, Sousuke Amasaki
Publikováno v:
Journal of Software: Evolution and Process. 27:488-507
In construction of an effort estimation model, it seems effective to use a window of training data so that the model is trained with only recent projects. Considering the chronological order of projects within the window, and weighting projects accor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::107cbbad82462d64ca6fd7c5c08a56f3
https://doi.org/10.1002/smr.1672
https://doi.org/10.1002/smr.1672
Publikováno v:
Information and Software Technology. 56:395-407
Context: Evolutionary algorithms have proved to be successful for generating test data for path coverage testing. However in this approach, the set of target paths to be covered may include some that are infeasible. It is impossible to find test data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5441594f6bfe7038ae9aadcbcaa0ec13
https://doi.org/10.1016/j.infsof.2014.01.001
https://doi.org/10.1016/j.infsof.2014.01.001
Publikováno v:
Evolutionary Intelligence. 6:109-126
Data mining, and specifically supervised data classification, is a key application area for Learning Classifier Systems (LCS). Scaling to larger classification problems, especially to higher dimensional problems, is a key challenge. Ensemble based ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52a33696aef77b67799e490dfd189914
https://doi.org/10.1007/s12065-013-0093-z
https://doi.org/10.1007/s12065-013-0093-z