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ORCIDICSE (NIER) 2020: Seoul, Korea
- Gregg Rothermel, Doo-Hwan Bae:
ICSE-NIER 2020: 42nd International Conference on Software Engineering, New Ideas and Emerging Results, Seoul, South Korea, 27 June - 19 July, 2020. ACM 2020, ISBN 978-1-4503-7126-1 - Juyoung Jeon, Shin Hong:
Threats to validity in experimenting mutation-based fault localization. 1-4 - Gian Luca Scoccia
, Marco Autili, Patrizio Pelliccione, Paola Inverardi, Matteo Maria Fiore, Alejandro Russo:
Hey, my data are mine!: active data to empower the user. 5-8 - Koen Yskout, Thomas Heyman, Dimitri Van Landuyt, Laurens Sion, Kim Wuyts, Wouter Joosen:
Threat modeling: from infancy to maturity. 9-12 - Sebastian Baltes, Christoph Treude:
Code duplication on stack overflow. 13-16 - Jude Arokiam, Jeremy S. Bradbury:
Automatically predicting bug severity early in the development process. 17-20 - Annie Louis, Santanu Kumar Dash, Earl T. Barr, Michael D. Ernst, Charles Sutton:
Where should I comment my code?: a dataset and model for predicting locations that need comments. 21-24 - Casey Casalnuovo, Earl T. Barr, Santanu Kumar Dash, Prem Devanbu, Emily Morgan:
A theory of dual channel constraints. 25-28 - Andriy V. Miranskyy, Lei Zhang, Javad Doliskani:
Is your quantum program bug-free? 29-32 - Carl Hildebrandt, Sebastian G. Elbaum, Nicola Bezzo:
Blending kinematic and software models for tighter reachability analysis. 33-36 - Kashumi Madampe, Rashina Hoda, Paramvir Singh:
Towards understanding emotional response to requirements changes in agile teams. 37-40 - Rodrigo L. A. Almeida, Rossana M. C. Andrade, Ticianne G. R. Darin, Joseane de O. V. Paiva:
CHASE: checklist to assess user experience in IoT environments. 41-44 - László Tóth, Balázs Nagy, Tibor Gyimóthy, László Vidács:
Why will my question be closed?: NLP-based pre-submission predictions of question closing reasons on stack overflow. 45-48 - Maleknaz Nayebi:
Eye of the mind: image processing for social coding. 49-52 - Jiawei Wang, Li Li, Andreas Zeller:
Better code, better sharing: on the need of analyzing jupyter notebooks. 53-56 - Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, Bogdan Vasilescu:
Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. 57-60 - Hamid Bagheri, Eunsuk Kang, Niloofar Mansoor:
Synthesis of assurance cases for software certification. 61-64 - Qi Xin, Myeongsoo Kim, Qirun Zhang, Alessandro Orso:
Program debloating via stochastic optimization. 65-68 - Valerio Terragni, Pasquale Salza, Filomena Ferrucci:
A container-based infrastructure for fuzzy-driven root causing of flaky tests. 69-72 - Sebastian Nielebock, Robert Heumüller, Jacob Krüger, Frank Ortmeier:
Cooperative API misuse detection using correction rules. 73-76 - Ming Wen, Yepang Liu, Shing-Chi Cheung:
Boosting automated program repair with bug-inducing commits. 77-80 - Jude K. Anil, Sumanth Prabhu S, Kumar Madhukar, R. Venkatesh:
Using hypersafety verification for proving correctness of programming assignments. 81-84 - Djamel Eddine Khelladi, Benoît Combemale, Mathieu Acher, Olivier Barais:
On the power of abstraction: a model-driven co-evolution approach of software code. 85-88 - Melissa Wen, Leonardo A. F. Leite, Fabio Kon, Paulo Meirelles:
Understanding FLOSS through community publications: strategies for grey literature review. 89-92 - Steffen Herbold:
With registered reports towards large scale data curation. 93-96 - Taejoon Byun, Sanjai Rayadurgam:
Manifold for machine learning assurance. 97-100 - Marcelo d'Amorim, Rui Abreu, Carlos A. B. Mello:
Visual sketching: from image sketches to code. 101-104 - Antonio Bucchiarone, Antonio Cicchetti, Annapaola Marconi:
Towards engineering future gameful applications. 105-108 - Alyas Almaawi, Nima Dini, Cagdas Yelen, Milos Gligoric, Sasa Misailovic, Sarfraz Khurshid:
Predictive constraint solving and analysis. 109-112
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last updated on 2024-11-11 21:37 CET by the dblp team
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