Hadeer Nabil
Information Systems · 2015
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 12 citations into it
Whom Hadeer Nabil trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kimberly A. Neuendorf
- Luís Torgo
- Dennis Pagano
- Mark Harman
- G. Antoniol
- Walid Maalej
- Thomas Zimmermann
Who trusts Hadeer Nabil overall
Papers from Hadeer Nabil's perspective
Ordered by how strongly the researchers Hadeer Nabil trusts endorse each paper. Same corpus, a different order for every researcher.
- App store mining and analysis: MSR for app stores (IEEE Working Conference on Mining Software Repositories)
- The Content Analysis Guidebook
- Is it a bug or an enhancement?: a text-based approach to classify change requests (Conference of the Centre for Advanced Studies on Collaborative Research)
- What Makes a Good Bug Report? (IEEE Transactions on Software Engineering)
- User feedback in the appstore: An empirical study (IEEE International Requirements Engineering Conference)
- Retrieving and analyzing mobile apps feature requests from online reviews (IEEE Working Conference on Mining Software Repositories)
- How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews (IEEE International Requirements Engineering Conference)
- Checking app behavior against app descriptions (International Conference on Software Engineering)
- Analysis of user comments: An approach for software requirements evolution (International Conference on Software Engineering)
- Mining Opinion Features in Customer Reviews (AAAI Conference on Artificial Intelligence)
Their papers
- Bug report, feature request, or simply praise? On automatically classifying app reviews (2015) — 480 citations