Demo Data from EDBT 2026 / reviewers in the wild / expert
Pradeep Balachandran
dblp:29/8164
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Program analysis · 67% Software testing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
fault detection |
0.1 | 1 | 2010 | Making defect-finding tools work for you · ICSE (2) 2010 |
Program analysis
static analysis |
0.1 | 1 | 2010 | Making defect-finding tools work for you · ICSE (2) 2010 |
Program analysis › static analysis
static analysis tool adoption |
0.1 | 1 | 2010 | Making defect-finding tools work for you · ICSE (2) 2010 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Making defect-finding tools work for youabstractGiven the high costs of software testing and fixing bugs after release, early detection of bugs using static analysis can result in significant savings. However, despite their many benefits, recent availability of many such tools, and evidence of a positive return-on-investment, static-analysis tools are not used widely because of various usability and usefulness problems. The usability inhibitors include the lack of features, such as capabilities to merge reports from multiple tools and view warning deltas between two builds of a system. The usefulness problems are related primarily to the accuracy of the tools: identification of false positives (or, spurious bugs) and uninteresting bugs among the true positives. In this paper, we present the details of an online portal, developed at IBM Research, to address these problems and promote the adoption of static-analysis tools. We report our experience with the deployment of the portal within the IBM developer community. We also highlight the problems that we have learned are important to address, and present our approach toward solving some of those problems. Mangala Gowri Nanda, Monika Gupta 0002, Saurabh Sinha 0001, Satish Chandra 0001, Pradeep Balachandran |
ICSE (2) | 6 |