Documents publiés en "2019"

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Abidi, M., Grichi, M., & Khomh, F. (novembre 2019). Behind the scenes: developers' perception of multi-language practices [Communication écrite]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. Lien externe

Abidi, M., Grichi, M., Khomh, F., & Guéhéneuc, Y.-G. (juillet 2019). Code smells for multi-language systems [Communication écrite]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (13 pages). Lien externe

Abidi, M., Khomh, F., & Guéhéneuc, Y.-G. (juillet 2019). Anti-patterns for multi-language systems [Communication écrite]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (14 pages). Lien externe

Aly, M., Khomh, F., Guéhéneuc, Y.-G., Washizaki, H., & Yacout, S. (2019). Is fragmentation a threat to the success of the Internet of things? IEEE Internet of Things Journal, 6(1), 472-487. Lien externe

Aly, M., Khomh, F., Haoues, M., Quintero, A., & Yacout, S. (2019). Enforcing security in Internet of Things frameworks: A Systematic Literature Review. Internet of Things, 6, 100050 (24 pages). Lien externe

An, L., Castelluccio, M., & Khomh, F. (2019). An empirical study of DLL injection bugs in the Firefox ecosystem. Empirical Software Engineering, 24(4), 1799-1822. Lien externe

Asri, I. E., Kerzazi, N., Uddin, G., Khomh, F., & Janati Idrissi, M. A. (2019). An empirical study of sentiments in code reviews. Information and Software Technology, 114, 37-54. Lien externe

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Barbez, A., Khomh, F., & Guéhéneuc, Y.-G. (septembre 2019). Deep Learning Anti-Patterns from Code Metrics History [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution, (ICSME 2019), Cleveland, OH, United states. Lien externe

Ben Braiek, H., & Khomh, F. (septembre 2019). DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, OH, United states. Lien externe

Ben Braiek, H., & Khomh, F. (juillet 2019). TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs [Communication écrite]. 19th IEEE International Conference on Software Quality, Reliability and Security (QRS 2019), Sofia, Bulgaria. Lien externe

Businge, J., Openja, M., Kavaler, D., Bainomugisha, E., Khomh, F., & Filkov, V. (février 2019). Studying Android App Popularity by Cross-Linking GitHub and Google Play Store [Communication écrite]. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China. Lien externe

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Grichi, M., Abidi, M., Guéhéneuc, Y.-G., & Khomh, F. (novembre 2019). State of practices of Java native interface [Communication écrite]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. Lien externe

Guéhéneuc, Y.-G., & Khomh, F. (2019). Empirical Software Engineering. Dans Cha, S., Taylor, R. N., & Kang, K. C. (édit.), Handbook of Software Engineering (p. 285-320). Lien externe

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Johannes, D., Khomh, F., & Antoniol, G. (2019). A large-scale empirical study of code smells in JavaScript projects. Software Quality Journal, 27(3), 1271-1314. Lien externe

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Petrillo, F., Guéhéneuc, Y.-G., Pimenta, M., Freitas, C. D. S., & Khomh, F. (2019). Swarm debugging: The collective intelligence on interactive debugging. Journal of Systems and Software, 153, 152-174. Lien externe

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Soualhia, M., Fu, C., & Khomh, F. (novembre 2019). Infrastructure fault detection and prediction in edge cloud environments [Communication écrite]. 4th ACM/IEEE Symposium on Edge Computing (SEC 2019), Arlington, Virginia. Lien externe

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Uddin, G., Khomh, F., & Roy, C. K. (mai 2019). Towards crowd-sourced API documentation [Communication écrite]. 41st International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP 2019), Montréal, Québec, Canada. Lien externe

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Washizaki, H., Uchida, H., Khomh, F., & Guéhéneuc, Y.-G. (décembre 2019). Studying Software Engineering Patterns for Designing Machine Learning Systems [Communication écrite]. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan. Lien externe