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H. Alperen Çetin

dblp:278/7385 · DBLP profile ↗
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4ranked-venue papers
3as first author
3since 2021 · last 2025
0000-0001-9879-8599ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 4 · 3 first-author · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering › developer studies › developer expertise
developer expertise identification
0.412019
Identifying the most valuable developers using artifact traceability graphs · ESEC/SIGSOFT FSE 2019
Empirical software engineering
mining software repositories
0.412019
Identifying the most valuable developers using artifact traceability graphs · ESEC/SIGSOFT FSE 2019

Methods — techniques the papers use, named apart from their topics

graph analysis · 0.4
YearPublicationVenuePosition
2025 Incidents During Microservice Decomposition: A Case Study
abstract
Software errors and incidents are inevitable in web-based applications. Scalability challenges, increasing demand, and ongoing code changes can contribute to such failures. As software architectures evolve rapidly, understanding how and why incidents occur is crucial for enhancing system reliability. In this study, we introduce Carbon Health’s software stack, share our microservices journey, and analyze 107 incidents. Based on these incidents, we share insights and lessons learned on microservice decomposition. Finally, we suggest that starting with monolithic modularization as an initial step toward microservice decomposition may help reduce incidents and contribute to building more resilient software.
Dogaç Eldenk, H. Alperen Çetin
EASE2
2022 Analyzing developer contributions using artifact traceability graphs
H. Alperen Çetin, Eray Tüzün
Empir. Softw. Eng.1
2021 A review of code reviewer recommendation studies: Challenges and future directions
H. Alperen Çetin, Emre Dogan, Eray Tüzün
Sci. Comput. Program.1
2019 Identifying the most valuable developers using artifact traceability graphs
abstract
Finding the most valuable and indispensable developers is a crucial task in software development. We categorize these valuable developers into two categories: connector and maven. A typical connector represents a developer who connects different groups of developers in a large-scale project. Mavens represent the developers who are the sole experts in specific modules of the project.
H. Alperen Çetin
ESEC/SIGSOFT FSE1