Research output per year
Research output per year
Personal profile
Research
Adha Hrusto is an industrial doctoral student at the Department of Computer Science, Faculty of Engineering LTH at Lund University. Adha is also an employee at System Verification, a global quality assurance company specialized in advanced quality monitoring and analytics based on AI. She received MSc in Electrical Engineering from the University of Sarajevo, BiH in 2016. She has started her Ph.D. in Computer Science in November 2019. The Ph.D. position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Her research project is concerned with continuous system testing and monitoring of SoS (System of Systems) during the operational execution, which will enable prediction of unexpected system failures. Furthermore, the aim is to use ML techniques for analysis of patterns and anti-patterns of system input/output data.
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Collaborations the last five years
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Research output
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Enhancing DevOps with Autonomous Monitors: A Proactive Approach to Failure Detection
Hrusto, A., 2024 Oct 1, Lund: Computer Science, Lund University. 194 p.Research output: Thesis › Doctoral Thesis (compilation)
Open AccessFile192 Downloads (Pure) -
Advancing Software Monitoring: An Industry Survey on ML-Driven Alert Management Strategies
Hrusto, A., Runeson, P., Engström, E. & Ohlsson, M. C., 2024 Aug 28, 50th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA) 2024: KKIO: Practical Aspects of Software Engineering. 8 p.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
File68 Downloads (Pure) -
Autonomous Monitors for Detecting Failures Early and Reporting Interpretable Alerts in Cloud Operations
Hrusto, A., Runeson, P. & Ohlsson, M. C., 2024, 46th International Conference on Software Engineering: Software Engineering in Practice. Association for Computing Machinery (ACM), 11 p.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open AccessFile88 Downloads (Pure) -
Towards optimization of anomaly detection in DevOps
Hrusto, A., Engström, E. & Runeson, P., 2023, In: Information and Software Technology. 160, 107241.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimization of Anomaly Detection in a Microservice System Through Continuous Feedback from Development
Hrusto, A., Engström, E. & Runeson, P., 2022 May 16, IEEE/ACM 10th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2022). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 13-20Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Projects
- 1 Active
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Continuous system testing using autonomous monitors
Hrusto, A. (PI), Runeson, P. (Supervisor), Engström, E. (Assistant supervisor) & Ohlsson, M. C. (Assistant supervisor)
2019/11/13 → …
Project: Dissertation