It has been found that the tools exhibit varying sensitivity to logical errors, type inconsistencies, and potentially unsafe designs, which confirms the effectiveness of using static analysis tools as a means of improving the quality and security of PHP code.
Ya. V. Ognevoy, A. Spevakov, I. Kalutskiy et al.· Proceedings of the Southwest...· 0 citations
The experimental results show that the Cypress-based end-to-end test suite has short and stable execution times, and resilient data-cy attributes significantly reduce maintenance overhead when UI changes occur.
Quoc-Binh Nguyen, Truc-Ly Phan Nguyen, Ngoc Hong Tran et al.· 0 citations
By identifying the software architecture pattern(s) employed in a system and understanding the safety concerns and potential mitigations, system safety practitioners have a basis for an in-depth, repeatable software architecture analysis methodology.
Myesha Dabney, Carla Adams, LaTasha Bagby et al.· Journal of System Safety· 0 citations
This research will focus on empirically examining the software testing criteria undertaken by SMEs in India and its effect on quality indicators, which are defect density, customer-reported defects, and time-to-market.
Priya Nandihal· Journal of Intelligent Decis...· 0 citations
Several experience reports illustrate that mutation testing is capable of supporting a shift-left testing strategy, especially in industries where late bug discovery incurs very high costs and risks. In the context of cyber-physical systems, a shift left implies that engineers need to test the design models used to sim...
Murat Kavak, Onur Kilinççeker, Serge Demeyer et al.· 0 citations
The concept of productive coverage is formulated, shifting the center of gravity from gross quantitative test indicators to their semantic significance for business-critical scenarios, and practical recommendations are proposed for reconfiguring CI pipelines in order to minimize economic losses caused by brittle tests.
Evgenii Lvov· International Journal of Mod...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comJul 30, 2026
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-use agents appeared first on Microsoft Research.
