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Documents publiés en "2015"

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Nombre de documents: 17

A

Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (décembre 2015). How green are cloud patterns? [Communication écrite]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages). Lien externe

Adams, B., Bellomo, S., Bird, C., Khomh, F., & Moir, K. (mai 2015). 3rd International Workshop on Release Engineering (RELENG 2015) [Communication écrite]. IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE 2015), Florence, Italy. Lien externe

Adams, B., Bellomo, S., Bird, C., Marshall-Keim, T., Khomh, F., & Moir, K. (2015). The practice and future of release engineering: A roundtable with three release engineers. IEEE Software, 32(2), 42-49. Lien externe

An, L., & Khomh, F. (octobre 2015). An empirical study of crash-inducing commits in Mozilla Firefox [Communication écrite]. 11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015), Beijing, China. Lien externe

An, L., & Khomh, F. (août 2015). An Empirical Study of Highly Impactful Bugs in Mozilla Projects [Communication écrite]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2015), Vancouver, BC, Canada. Lien externe

J

Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., Khomh, F., & Zulkernine, M. (2015). Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults. Empirical Software Engineering, 21(3), 896-931. Lien externe

K

Khomh, F., Adams, B., Dhaliwal, T., & Zou, Y. (2015). Understanding the impact of rapid releases on software quality : the case of Firefox. Empirical Software Engineering, 20(2), 336-373. Lien externe

L

Le, A., & Khomh, F. (mars 2015). Challenges and Issues of Mining Crash Reports [Communication écrite]. IEEE 1st International Workshop on Software Analytics (SWAN 2015), Montréal, Québec. Lien externe

M

Mäntylä, M. V., Adams, B., Khomh, F., Engström, E., & Petersen, K. (2015). On rapid releases and software testing: a case study and a semi-systematic literature review. Empirical Software Engineering, 20(5), 1384-1425. Lien externe

Morales, R., McIntosh, S., & Khomh, F. (mars 2015). Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects [Communication écrite]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec. Lien externe

S

Soh, Z., Drioul, T., Rappe, P.-A., Khomh, F., Guéhéneuc, Y.-G., & Habra, N. (octobre 2015). Noises in interaction traces data and their impact on previous research studies [Communication écrite]. ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2015), Beijing, China (10 pages). Lien externe

Soualhia, M., Khomh, F., & Tahar, S. (2015). ATLAS: a failure-aware scheduler for Hadoop. (Rapport technique). Lien externe

Soualhia, M., Khomh, F., & Tahar, S. (décembre 2015). ATLAS: an adaptive failure-aware scheduler for Hadoop [Communication écrite]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages). Lien externe

Soualhia, M., Khomh, F., & Tahar, S. (2015). Predicting Scheduling Failures in the Cloud. (Rapport technique). Lien externe

Soualhia, M., Khomh, F., & Tahar, S. (août 2015). Predicting scheduling failures in the cloud: A case study with google clusters and hadoop on Amazon EMR [Communication écrite]. 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems (HPCC-ICESS-CSS 2015), New York, NY, United states. Lien externe

U

Upadhyaya, B., Zou, Y., & Khomh, F. (2015). An approach to extract RESTful services from web applications. International Journal of Business Process Integration and Management, 7(3), 213-227. Lien externe

W

Wu, W., Khomh, F., Adams, B., Guéhéneuc, Y.-G., & Antoniol, G. (2015). An exploratory study of API changes and usages based on Apache and Eclipse ecosystems. Empirical Software Engineering, 21(6), 2366-2412. Lien externe

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