Demo Data from EDBT 2026 / reviewers in the wild / expert
Muhammad Moiz Arif
dblp:220/2880
· DBLP profile ↗
2ranked-venue papers
2as 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 · 2 · 2 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
1 paper |
Software testing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
performance testing |
0.3 | 1 | 2018 | Empirical study on the discrepancy between performance testing results from virtual and physical environments · ICSE 2018 |
Cloud and datacenter computing
virtualization |
0.1 | 1 | 2018 | Empirical study on the discrepancy between performance testing results from virtual and physical environments · ICSE 2018 |
Cloud and datacenter computing › virtualization
virtual machine |
0.1 | 1 | 2018 | Empirical study on the discrepancy between performance testing results from virtual and physical environments · ICSE 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Empirical study on the discrepancy between performance testing results from virtual and physical environmentsabstractLarge software systems often undergo performance tests to ensure their capability to handle expected loads. These performance tests often consume large amounts of computing resources and time since heavy loads need to be generated. Making it worse, the ever evolving field requires frequent updates to the performance testing environment. In practice, virtual machines (VMs) are widely exploited to provide flexible and less costly environments for performance tests. However, the use of VMs may introduce confounding overhead (e.g., a higher than expected memory utilization with unstable I/O traffic) to the testing environment and lead to unrealistic performance testing results. Yet, little research has studied the impact on test results of using VMs in performance testing activities. Muhammad Moiz Arif, Weiyi Shang, Emad Shihab |
ICSE | 1 |
| 2018 | Empirical study on the discrepancy between performance testing results from virtual and physical environments
Muhammad Moiz Arif, Weiyi Shang, Emad Shihab |
Empir. Softw. Eng. | 1 |