Demo Data from EDBT 2026 / reviewers in the wild / expert
Vasilii Zorin
dblp:204/3678 · also Vasily Zorin
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
developer studies |
0.6 | 2 | 2018 | 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 |
0.3 | 1 | 2018 | Design and validation of precooked developer dashboards · ESEC/SIGSOFT FSE 2018 |
Empirical software engineering › software engineering practice
research-practice gap |
0.3 | 1 | 2017 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | An Experience in Collecting Requirements for Mobile, Energy Efficient Applications from End Customers in the Bank Sector
Vladimir Ivanov 0001, Pavel Kolychev, Sergey Masyagin, Giancarlo Succi, Rafael Valeev, Vasilii Zorin |
ENASE | 6 |
| 2018 | Design and validation of precooked developer dashboardsabstractDespite 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 FSE | 6 |
| 2017 | What do software engineers care about? gaps between research and practiceabstractIt 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 FSE | 5 |