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Zampetti, F., Mudbhari, S., Arnaoudova, V., Di Penta, M., Panichella, S., & Antoniol, G. (2022). Using code reviews to automatically configure static analysis tools. Empirical Software Engineering, 27(1), 30 pages. External link
Sabané, A., Guéhéneuc, Y.-G., Arnaoudova, V., & Antoniol, G. (2017). Fragile base-class problem, problem? Empirical Software Engineering, 22(5), 2612-2657. External link
Guerrouj, L., Kermansaravi, Z., Arnaoudova, V., Fung, B. C. M., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017). Investigating the relation between lexical smells and change- and fault-proneness: an empirical study. Software Quality Journal, 25(3), 641-670. External link
Arnaoudova, V., Di Penta, M., & Antoniol, G. (2016). Linguistic antipatterns: what they are and how developers perceive them. Empirical Software Engineering, 21(1), 104-158. External link
Arnaoudova, V., Eshkevari, L. M., Penta, M. D., Oliveto, R., Antoniol, G., & Guéhéneuc, Y.-G. (2014). Repent: analyzing the nature of identifier renamings. IEEE Transactions on Software Engineering, 40(5), 502-532. External link
Medini, S., Arnaoudova, V., Penta, M. D., Antoniol, G., Guéhéneuc, Y.-G., & Tonella, P. (2014). Scan: an approach to label and relate execution trace segments. Journal of Software: Evolution and Process, 26(11), 962-995. External link
Arnaoudova, V. (2010). Defining linguistic antipatterns towards the improvement of source code quality. (Technical Report n° EPM-RT-2010-07). Available
Arnaoudova, V., Eshkevari, L., Oliveto, R., Guéhéneuc, Y.-G., & Antoniol, G. (2010). An empirical study on the relation between identifiers and fault proneness. (Technical Report n° EPM-RT-2010-02). Available
Fakhoury, S., Arnaoudova, V., Noiseux, C., Khomh, F., & Antoniol, G. (2018, March). Keep it simple: Is deep learning good for linguistic smell detection? [Paper]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy. External link
Haiduc, S., Arnaoudova, V., Marcus, A., & Antoniol, G. (2016, May). The Use of Text Retrieval and Natural Language Processing in Software Engineering [Paper]. IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C 2016), Austin, TX. External link
Arnaoudova, V., Haiduc, S., Marcus, A., & Antoniol, G. (2015, May). The Use of Text Retrieval and Natural Language Processing in Software Engineering [Paper]. 37th IEEE/ACM International Conference on Software Engineering (ICSE 2015), Florence, Italy. External link
Panichella, S., Arnaoudova, V., Di Penta, M., & Antoniol, G. (2015, March). Would static analysis tools help developers with code reviews? [Paper]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec. External link
Arnaoudova, V., Di Penta, M., Antoniol, G., & Guéhéneuc, Y.-G. (2013, March). A new family of software anti-patterns: Linguistic anti-patterns [Paper]. 17th European Conference on Software Maintenance and Reengineering (CSMR 2013), Genova, Italy. External link
Abebe, S. L., Arnaoudova, V., Tonella, P., Antoniol, G., & Guéhéneuc, Y.-G. (2012, October). Can Lexicon Bad Smells improve fault prediction? [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. External link
Eshkevari, L. M., Arnaoudova, V., Di Penta, M., Oliveto, R., Guéhéneuc, Y.-G., & Antoniol, G. (2011, May). An exploratory study of identifier renamings [Paper]. 8th Working Conference on Mining Software Repositories (MSR 2011), co-located with ICSE 2011, Waikiki, Honolulu, HI, United states. External link
Arnaoudova, V. (2010, October). Improving source code quality through the definition of linguistic antipatterns [Paper]. 17th Working Conference on Reverse Engineering (WCRE 2010), Beverly, Massachusetts, USA. External link
Arnaoudova, V. (2014). Towards Improving the Code Lexicon and its Consistency [Ph.D. thesis, École Polytechnique de Montréal]. Available
Zampetti, F., Mudbhari, S., Arnaoudova, V., Penta, M. D., Panichella, S., & Antoniol, G. (2020). Using Code Reviews to Automatically Configure Static Analysis Tools [Dataset]. External link
