The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Emotimonitor: A Trello power-up to capture and monitor emotions of Agile teams
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Baltes et al. summarised most common employment strategies for older developers in [57].
“While Baltes et al. summarised most common employment strategies for older developers in their article [57]”
From A Framework for Emotion-Oriented Requirements Change Handling in Agile Software Engineering (2023) · cites this paper as [57]
The Introduction and Motivation sections discuss emotions in Agile teams, not employment strategies for older developers. Searches for Baltes and for older developers’ employment strategies found no relevant passage in our copy; its References section also does not list Baltes. (LLM, conf=0.76)
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Sentiment strength detection in short informal text
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21416 · Cited by 1,449
Self-citationThe Discrete Emotions Questionnaire: a new tool for measuring state self-reported emotions
Harmon-Jones, C., Bastian, B., & Harmon-Jones, E. (2016) · PLOS ONE · doi:10.1371/journal.pone.0159915 · Cited by 473
Do Agile Managed Information Systems Projects Fail Due to a Lack of Emotional Intelligence?
Luong, T. T., Sivarajah, U., & Weerakkody, V. (2021) · Information Systems Frontiers · doi:10.1007/s10796-019-09962-6 · Cited by 45
Flagged first, then by citations
Research works printed but not linked: 8
- Curumsing, 2019, Emotion-oriented requirements engineering: A case study in developing a smart home system for the elderly, J. Syst. Softw., 147, 215, 10.1016/j.jss.2018.06.077 · DOI
- Geoghegan, 2008, Do project managers’ leadership competencies contribute to project success?, Proj. Manage. J., 39, 58, 10.1002/pmj.20084 · DOI
- Graziotin, 2014, Happy software developers solve problems better: psychological measurements in empirical software engineering, PeerJ, 2, 10.7717/peerj.289 · DOI
- Graziotin, 2014, Software developers, moods, emotions, and performance, IEEE Softw., 31, 24, 10.1109/MS.2014.94 · DOI
- Graziotin, 2015, Do feelings matter? On the correlation of affects and the self-assessed productivity in software engineering, J. Softw.: Evol. Process, 27, 467
- Hoda, 2018, The rise and evolution of agile software development, IEEE Softw., 35, 58, 10.1109/MS.2018.290111318 · DOI
- Johnson, 2017, Trello, J. the Medical Library Association, 105, 209, 10.5195/jmla.2017.49 · DOI
- Werder, K., Brinkkemper, S., 2018. MEME - toward a method for emotions extraction from GitHub. In: 2018 IEEE/ACM 3rd International Workshop on Emotion Awareness in Software Engineering, SEmotion, pp. 20–24. · DOI
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A Framework for Emotion-Oriented Requirements Change Handling in Agile Software Engineering
Madampe, K., Hoda, R., & Grundy, J. (2023) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2023.3253145 · Cited by 32
Self-citation
Metadata
- Authors
- El-Migid, M.-A. A., Cai, D., Niven, T., Vo, J., Madampe, K., Grundy, J., & Hoda, R.
- Affiliations
- Monash University (AU)
- Corresponding author
- Madampe, Kashumi
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 186
- Pages
- 111206
- ISSN
- 0164-1212 (ISSN-L)
- OpenAlex
- W4200264914
- Cited by
- 31
- References
- 3
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 7 · 2023: 7 · 2022: 5
- FWCI
- 3.04
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Journal of Systems and Software (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Australian Research Council (FL190100035)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- agile teams, team emotions, emotional state, emotion measurement, team productivity, software development teams
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