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Jobayer Ahmmed

dblp:393/9411 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0008-0030-1686ORCID · reported

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

Software engineering, systems software and programming languages · 1 · 1 first-author · 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 · 91% Program analysis · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
software configuration
0.812024
Towards Automated Configuration Documentation · ASE 2024
Software maintenance and evolution
software evolution
0.812024
Towards Automated Configuration Documentation · ASE 2024
Software maintenance and evolution
traceability
0.812024
Towards Automated Configuration Documentation · ASE 2024
Program analysis
static analysis
0.212024
Towards Automated Configuration Documentation · ASE 2024

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

version control history analysis · 0.8program analysis · 0.8
YearPublicationVenuePosition
2024 Towards Automated Configuration Documentation
abstract
Configurability is a common property of software allowing programs to be customized for the user. While configurability is pervasive, it can also lead to faults (or misconfigurations) and make program evolution challenging. Dependencies can be missed, essential code can be left in place when a configuration option is removed, or code can be deleted or changed when still in use by other configuration options. A key issue is a lack of sufficient documentation and traceability between configuration options and code during software evolution. Existing approaches to solve these problems include automated documentation, analysis of version control history, or the use of special program configuration management languages. However, none of these provide a sufficient solution managing configuration changes over time. In this paper we propose our vision for an automated approach called ConfiGen, which provides user-facing documentation along with a back-end analysis showing definitions and uses of configuration options along with traceability to lines of program code for evolution. We performed a case study demonstrating its potential usefulness.
Jobayer Ahmmed, Myra B. Cohen, Paul Gazzillo
ASE1