VLDB 2026 Research / reviewers in the wild / expert
Amir Makhshari
dblp:294/1239
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
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 |
Empirical software engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › mining software repositories
bug report analysis |
0.5 | 1 | 2021 | IoT Bugs and Development Challenges · ICSE 2021 |
Empirical software engineering
developer studies |
0.5 | 1 | 2021 | IoT Bugs and Development Challenges · ICSE 2021 |
Empirical software engineering
mining software repositories |
0.5 | 1 | 2021 | IoT Bugs and Development Challenges · ICSE 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | IoT Bugs and Development ChallengesabstractIoT systems are rapidly adopted in various domains, from embedded systems to smart homes. Despite their growing adoption and popularity, there has been no thorough study to understand IoT development challenges from the practitioners' point of view. We provide the first systematic study of bugs and challenges that IoT developers face in practice, through a large-scale empirical investigation. We collected 5,565 bug reports from 91 representative IoT project repositories and categorized a random sample of 323 based on the observed failures, root causes, and the locations of the faulty components. In addition, we conducted nine interviews with IoT experts to uncover more details about IoT bugs and to gain insight into IoT developers' challenges. Lastly, we surveyed 194 IoT developers to validate our findings and gain further insights. We propose the first bug taxonomy for IoT systems based on our results. We highlight frequent bug categories and their root causes, correlations between them, and common pitfalls and challenges that IoT developers face. We recommend future directions for IoT areas that require research and development attention. Amir Makhshari, Ali Mesbah 0001 |
ICSE | 1 |