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Saad Sakib Noor

dblp:417/5595 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 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
Software maintenance and evolution · 100%

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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › program comprehension
code comprehension
0.912025
Clara: A Developer's Companion for Code Comprehension and Analysis · ASE 2025
Software maintenance and evolution
refactoring
0.912025
Clara: A Developer's Companion for Code Comprehension and Analysis · ASE 2025

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

inference model · 0.9browser extension · 0.9
YearPublicationVenuePosition
2025 Clara: A Developer's Companion for Code Comprehension and Analysis
abstract
Code comprehension and analysis of open-source project codebases is a task frequently performed by developers and researchers. However, existing tools that practitioners use for assistance with such tasks often require prior project setup, lack context-awareness, and involve significant manual effort. To address this, we present CLARA, a browser extension that utilizes state-of-the-art inference model to assist developers and researchers in: (i) comprehending code files and code fragments, (ii) code refactoring, and (iii) code quality attribute detection. We qualitatively evaluated CLARA’s inference model using existing datasets and methodology, and performed a comprehensive user study with 10 developers and academic researchers to assess its usability and usefulness. The results show that CLARA is useful, accurate, and practical in code comprehension and analysis tasks. CLARA is an open-source tool available at github.com/clara_tool_demo. A video showing the full capabilities of CLARA can be found at youtube.com/clara_demo_video.
Saad Sakib Noor, Kazi Sakib
ASE3