Research output per year
Research output per year
Personal profile
Research interests
Artificial Intelligence;
Anomaly Detection;
Model-Based Diagnosis;
Software Quality Assurance
Fingerprint
Dive into the research topics where Meir Kalech is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Issues-Driven features for software fault prediction
Elmishali, A. & Kalech, M., 1 Mar 2023, In: Information and Software Technology. 155, 107102.Research output: Contribution to journal › Article › peer-review
-
Active-learning-based reconstruction of circuit model
Rozenfeld, G., Kalech, M. & Rokach, L., 1 Mar 2022, In: Applied Intelligence. 52, 5, p. 5125-5143 19 p.Research output: Contribution to journal › Article › peer-review
-
Exploring Design smells for smell-based defect prediction
Sotto-Mayor, B., Elmishali, A., Kalech, M. & Abreu, R., 1 Oct 2022, In: Engineering Applications of Artificial Intelligence. 115, 105240.Research output: Contribution to journal › Article › peer-review
-
Model-Based Diagnosis of Multi-Agent Systems: A Survey.
Kalech, M. & Natan, A., 2022, AAAI. p. 12334-12341 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Predictive maintenance for critical infrastructure
Gorenstein, A. & Kalech, M., 30 Dec 2022, In: Expert Systems with Applications. 210, 118413.Research output: Contribution to journal › Article › peer-review
-
Privacy-aware Distributed Diagnosis of Multi-Agent Plans
Natan, A. & Kalech, M., 15 Apr 2022, In: Expert Systems with Applications. 192, 116313.Research output: Contribution to journal › Article › peer-review
-
Anticipatory troubleshooting
Hasidi, N. & Kalech, M., 1 Feb 2021, In: Applied Sciences (Switzerland). 11, 3, p. 1-22 22 p., 995.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Artificial Intelligence Methods for Software Engineering: METHODS FOR SOFTWARE ENGINEERING
Kalech, M. (ed.), Abreu, R. (ed.) & Last, M. (ed.), 2021, Hackensack, New Jersey: WorldScientific. 456 p.Research output: Book/Report › Book › peer-review
1 Scopus citations -
BEIRUT: Repository Mining for Defect Prediction
Elmishali, A., Sotto-Mayor, B., Roshanski, I., Sultan, A. & Kalech, M., 1 Jan 2021, Proceedings - 2021 IEEE 32nd International Symposium on Software Reliability Engineering, ISSRE 2021. Jin, Z., Li, X., Xiang, J., Mariani, L., Liu, T., Yu, X. & Ivaki, N. (eds.). IEEE Computer Society, p. 47-56 10 p. (Proceedings - International Symposium on Software Reliability Engineering, ISSRE; vol. 2021-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Contingent Planning for Robust Multi-Agent Path Finding
Nekvinda, M., Barták, R. & Kalech, M., 1 Jan 2021, 14th International Symposium on Combinatorial Search, SoCS 2021. Ma, H. & Serina, I. (eds.). Association for the Advancement of Artificial Intelligence, p. 185-187 3 p. (14th International Symposium on Combinatorial Search, SoCS 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Datasets
-
Exploring Design Smells for Smell-Based Defect Prediction
Sotto-Mayor, B. (Creator), Elmishali, A. (Creator), Kalech, M. (Creator) & Abreu, R. (Creator), ZENODO, 2020
DOI: 10.5281/zenodo.4110652, https://zenodo.org/record/4110652
Dataset
-
Cross-Project Smell-Based Defect Prediction
Sotto-Mayor, B. (Creator) & Kalech, M. (Creator), ZENODO, 2021
DOI: 10.5281/zenodo.4697491, https://zenodo.org/record/4697491
Dataset
-
Exploring Design Smells for Smell-Based Defect Prediction
Sotto-Mayor, B. (Creator), Elmishali, A. (Creator), Kalech, M. (Creator) & Abreu, R. (Creator), ZENODO, 2020
DOI: 10.5281/zenodo.4103861, https://zenodo.org/record/4103861
Dataset