2 citations · 4 across the 6 of their papers we have counts for
6 papers
CASPER-Change-Aware Slice Prioritization for Efficient Regression Testing of LLM-based systems
Biruk Asmare Muse, Lionel Briand, Yiwei Lu +1
Regression testing for LLM-based systems poses unique challenges because individual regression instances provide limited information about system-level regressions. A failure in a…
Data-access performance anti-patterns in data-intensive systems
Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh +1
Data-intensive systems handle variable, high volume, and high-velocity data generated by human and digital devices. Like traditional software, data-intensive systems are prone to t…
Do Developers Refactor Data Access Code? An Empirical Study
Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol
Developers often refactor code to improve the maintainability and comprehension of the software. There are many studies on refactoring activities in traditional software systems. H…
On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems
Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy +3
Code smells indicate software design problems that harm software quality. Data-intensive systems that frequently access databases often suffer from SQL code smells besides the trad…
FIXME: Synchronize with Database An Empirical Study of Data Access Self-Admitted Technical Debt
Biruk Asmare Muse, Csaba Nagy, Anthony Cleve +2
Developers sometimes choose design and implementation shortcuts due to the pressure from tight release schedules. However, shortcuts introduce technical debt that increases as the…
Clones in Deep Learning Code: What, Where, and Why?
Hadhemi Jebnoun, Md Saidur Rahman, Foutse Khomh +1
Deep Learning applications are becoming increasingly popular. Developers of deep learning systems strive to write more efficient code. Deep learning systems are constantly evolving…