Demo Data from EDBT 2026 / reviewers in the wild / expert
Juei Chang
dblp:05/6821
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1998
—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
2 papers |
Software testing · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
specification-based testing |
0.0 | 2 | 1998 | ADLscope: An Automated Specification-based Unit Testing Tool · ASE 1998 Structural Specification-Based Testing with ADL · ISSTA 1996 |
Software testing › test coverage
coverage measurement |
0.0 | 1 | 1998 | ADLscope: An Automated Specification-based Unit Testing Tool · ASE 1998 |
Software testing
test coverage |
0.0 | 1 | 1998 | ADLscope: An Automated Specification-based Unit Testing Tool · ASE 1998 |
Software testing
unit testing |
0.0 | 1 | 1998 | ADLscope: An Automated Specification-based Unit Testing Tool · ASE 1998 |
Software testing
black-box testing |
0.0 | 1 | 1996 | Structural Specification-Based Testing with ADL · ISSTA 1996 |
Software testing
test generation |
0.0 | 1 | 1998 | ADLscope: An Automated Specification-based Unit Testing Tool · ASE 1998 |
Methods — techniques the papers use, named apart from their topics
assertion definition language · 0.0formal specification · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | ADLscope: An Automated Specification-based Unit Testing ToolabstractSpecification-based testing is important because it relates directly to what the program is supposed to do and can detect certain errors that are often not detected by traditional code-based testing techniques such as branch coverage and statement coverage. We have developed an automated testing tool, called ADLscope, that utilizes the formal specification of a program unit as the basis for test coverage measurement. A tester uses ADLscope to test application programming interfaces (APIs) written in the C programming language. The API must be formally specified in the Assertion Definition Language (ADL). The tester uses ADLscope to generate coverage conditions from a program's ADL specifications. When the API is tested, ADLscope automatically measures how many of the coverage conditions have been covered by the tests. Juei Chang, Debra J. Richardson |
ASE | 1 |
| 1996 | Structural Specification-Based Testing with ADLabstractThis paper describes a specification-based black-box technique for testing program units. The main contribution is the method that we have developed to derive test conditions, which are descriptions of test cases, from the formal specification of each program unit. The derived test conditions are used to guide test selection and to measure comprehensiveness of existing test suites. Our technique complements traditional code-based techniques such as statement coverage and branch coverage. It allows the tester to quickly develop a black-box test suite.In particular, this paper presents techniques for deriving test conditions from specifications written in the Assertion Definition Language (ADL) [SH94], a predicate logic-based language that is used to describe the relationships between inputs and outputs of a program unit. Our technique is fully automatable, and we are currently implementing a tool based on the techniques presented in this paper. Juei Chang, Debra J. Richardson, Sriram Sankar |
ISSTA | 1 |