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B. Muse

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE4

identity via Semantic Scholar / OpenAlex

most citedClones in Deep Learning Code: What, Where, and Why?

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2022

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…

cs.SE2022★ 1 cited

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…

cs.SE2022

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…

cs.SE2021★ 2 cited

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…

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