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Alan Rogers

dblp:34/1274 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Software engineering, systems software and programming languages · 3Artificial intelligence and machine learning · 1 · 1 first-author

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
2 papers
Empirical software engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering
developer studies
0.622018
Design and validation of precooked developer dashboards · ESEC/SIGSOFT FSE 2018
What do software engineers care about? gaps between research and practice · ESEC/SIGSOFT FSE 2017
Empirical software engineering › software metrics
goal-question-metric
0.312018
Design and validation of precooked developer dashboards · ESEC/SIGSOFT FSE 2018
Empirical software engineering › software engineering practice
research-practice gap
0.312017
What do software engineers care about? gaps between research and practice · ESEC/SIGSOFT FSE 2017

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

interviews · 0.3GQM · 0.3survey · 0.3publication analysis · 0.3
YearPublicationVenuePosition
2018 Toward a Better Understanding of How to Develop Software Under Stress - Drafting the Lines for Future Research
abstract
The software is often produced under significant time constraints. Our idea is to understand the effects of various software development practices on the performance of developers working in stressful environments, and identify the best operating conditions for software developed under stressful conditions collecting data through questionnaires, non-invasive software measurement tools that can collect measurable data about software engineers and the software they develop, without intervening their activities, and biophysical sensors and then try to recreated also in different processes or key development practices such conditions.
Joseph Alexander Brown, Vladimir Ivanov 0001, Alan Rogers, Giancarlo Succi, Alexander Tormasov, Jooyong Yi
ENASE3
2018 Design and validation of precooked developer dashboards
abstract
Despite increasing popularity of developer dashboards, the effectiveness of dashboards is still in question. In order to design a dashboard that is effective and useful for developers, it is important to know (a) what information developers need to see in a dashboard, and (b) how developers want to use a dashboard with that necessary information. To answer these questions, we conducted two series of face-to-face individual interviews with developers. In the first step we analyzed answers, build a Goal-Question-Metric model and designed a precooked developer dashboard. Then, during the second separate series of interviews, we validated the GQM and derived feedback on the designed dashboard. Given that the cost of dashboard customization prevents developers from utilizing dashboards, we believe that our findings can provide a solid starting point to build precooked developer dashboards that can be readily utilized by software companies.
Vladimir Ivanov 0001, Vladislav Pischulin, Alan Rogers, Giancarlo Succi, Jooyong Yi, Vasilii Zorin
ESEC/SIGSOFT FSE3
2017 What do software engineers care about? gaps between research and practice
abstract
It is a cliche to say that there is a gap between research and practice. As the interest and importance in the practical impact of research has been growing, the gap between research and practice is expected to be narrowing. However, our study reveals that there still seems to be a wide gap. We survey so ware engineers about what they care about when developing so ware. We then compare our survey results with the research topics of the papers published in ICSE/FSE recently. We found the following discrepancy: while so ware engineers care more about so ware development productivity than the quality of so ware, papers on research areas closely related to so ware productivity--such as so ware development process management and so ware development techniques--are significantly less published than papers on so ware verification and validation that account for more than half of publications. We also found that so ware engineers are in great need for techniques for accurate effort estimation, and they are not necessarily knowledgable about techniques they can use to meet their needs.
Vladimir Ivanov 0001, Alan Rogers, Giancarlo Succi, Jooyong Yi, Vasilii Zorin
ESEC/SIGSOFT FSE2
2003 A novel pattern classification scheme using the Baker's map
Alan Rogers, John G. Keating, Robert Shorten
Neurocomputing1