Showing results 1 to 20 of 32
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| Issue Date | Title | Involved Person(s) |
| 2023 | A decade of code comment quality assessment : a systematic literature review | Rani, Pooja; Blasi, Arianna; Stulova, Nataliia; Panichella, Sebastiano; Gorla, Alessandra, et al |
| 2022 | An empirical characterization of software bugs in open-source Cyber–Physical Systems | Zampetti, Fiorella; Kapur, Ritu; Di Penta, Massimiliano; Panichella, Sebastiano |
| 2021 | An NLP-based tool for software artifacts analysis | Di Sorbo, Andrea; Visaggio, Corrado A.; Di Penta, Massimiliano; Canfora, Gerardo; Panichella, Sebastiano |
| 2022 | Automated identification and qualitative characterization of safety concerns reported in UAV software platforms | Di Sorbo, Andrea; Zampetti, Fiorella; Visaggio, Corrado A.; Di Penta, Massimiliano; Panichella, Sebastiano |
| 2022 | Continuous integration and delivery practices for cyber-physical systems : an interview-based study | Zampetti, Fiorella; Tamburri, Damian A.; Panichella, Sebastiano; Panichella, Annibale; Canfora, Gerardo, et al |
| 2023 | Cost-effective simulation-based test selection in self-driving cars software | Birchler, Christian; Ganz, Nicolas; Khatiri, Sajad; Gambi, Alessio; Panichella, Sebastiano |
| 2022 | Cost-effective simulation-based test selection in self-driving cars software with SDC-Scissor | Birchler, Christian; Ganz, Nicolas; Khatiri, Sajad; Gambi, Alessio; Panichella, Sebastiano |
| 2020 | DeepTC-Enhancer : improving the readability of automatically generated tests | Roy, Devjeet; Zhang, Ziyi; Ma, Maggie; Arnaoudova, Venera; Panichella, Annibale, et al |
| 2024 | Diversity-guided search exploration for self-driving cars test generation through Frenet space encoding | Blattner, Timo; Birchler, Christian; Kehrer, Timo; Panichella, Sebastiano |
| 8-Jun-2021 | Exposed! : a case study on the vulnerability-proneness of Google Play Apps | Di Sorbo, Andrea; Panichella, Sebastiano |
| 2023 | Fuzzing vs SBST : intersections & differences | Guizzo, Giovani; Panichella, Sebastiano |
| 2024 | How does simulation-based testing for self-driving cars match human perception? | Birchler, Christian; Kombarabettu Mohammed, Tanzil; Rani, Pooja; Nechita, Teodora; Kehrer, Timo, et al |
| 19-Jul-2021 | How to identify class comment types? : a multi-language approach for class comment classification | Rani, Pooja; Panichella, Sebastiano; Leuenberger, Manuel; Di Sorbo, Andrea; Nierstrasz, Oscar |
| May-2024 | Identifying safety–critical concerns in unmanned aerial vehicle software platforms with SALIENT | Khatiri, Sajad; Di Sorbo, Andrea; Zampetti, Fiorella; Visaggio, Corrado A.; Di Penta, Massimiliano, et al |
| 2022 | JUGE : an infrastructure for benchmarking Java unit test generators | Devroey, Xavier; Gambi, Alessio; Galeotti, Juan Pablo; Just, René; Kifetew, Fitsum, et al |
| 26-Apr-2023 | Machine learning-based test selection for simulation-based testing of self-driving cars software | Birchler, Christian; Khatiri, Sajad; Bosshard, Bill; Gambi, Alessio; Panichella, Sebastiano |
| 9-Dec-2022 | Machine learning-based test selection for simulation-based testing of self-driving cars software | Birchler, Christian; Khatiri, Sajad; Bosshard, Bill; Gambi, Alessio; Panichella, Sebastiano |
| 2022 | NLBSE’22 tool competition | Kallis, Rafael; Chaparro, Oscar; Di Sorbo, Andrea; Panichella, Sebastiano |
| 2020 | Predicting issue types on GitHub | Kallis, Rafael; Di Sorbo, Andrea; Canfora, Gerardo; Panichella, Sebastiano |
| 2024 | SBFT tool competition 2024 : CPS-UAV test case generation track | Khatiri, Sajad; Saurabh, Prasun; Zimmermann, Timothy; Munasinghe, Charith; Birchler, Christian, et al |
