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W. Homer Carlisle

dblp:c/WHCarlisle · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3Software engineering, systems software and programming languages · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 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
Programming languages and type systems · 88% Concurrent programming · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems
type checking
0.011995
Type Checking Concurrent I/O · ACM Trans. Program. Lang. Syst. 1995
Programming languages and type systems
type systems
0.011995
Type Checking Concurrent I/O · ACM Trans. Program. Lang. Syst. 1995
Programming languages and type systems › concurrent programming languages
parallel programming languages
0.011995
Type Checking Concurrent I/O · ACM Trans. Program. Lang. Syst. 1995
Concurrent programming
shared data structures
0.011995
Type Checking Concurrent I/O · ACM Trans. Program. Lang. Syst. 1995

Methods — techniques the papers use, named apart from their topics

type-checking algorithm · 0.0
YearPublicationVenuePosition
1996 SMARTUSA: A Case-Based Reasoning System for Customer Services
Pradeep Raman, Kai-Hsiung Chang, W. Homer Carlisle, James H. Cross II
IEA/AIE3
1996 A Performance Evaluation of Heuristics-Based Test Case Generation Methods for Software Branch Coverage
abstract
Software testing is an important step in the development of complex systems. The construction of test cases using traditional methods usually requires considerable manual effort. QUEST/Ada—Query Utility Environment for Software Testing of Ada, is a prototype test case generation system that uses various heuristics-based approaches to generate test cases. The system, which is designed for unit testing, generates test cases by monitoring the branch coverage progress and intelligently modifying existing test cases to achieve additional coverage. Three heuristics-based approaches along with a random test case generation method were studied to compare their branch coverage performance. Although some constraints are imposed by the prototype, the framework provides a useful foundation for further heuristics-based test case generation research. The design of the system, the heuristic rules used in the system, and an evaluation of each rule’s performance are presented.
Kai-Hsiung Chang, James H. Cross II, W. Homer Carlisle, Shih-Sung Liao
Int. J. Softw. Eng. Knowl. Eng.3
1995 Type Checking Concurrent I/O
abstract
In parallel programming languages multityped data structures may be shared by two or more processes. Process I/O to these structures is assumed to be physically interleaved but logically parallel. This article addresses a syntactic mechanism to specify a type for such structures and extends an example language and its type-checking algorithm to these structures.
W. Homer Carlisle
ACM Trans. Program. Lang. Syst.1
1991 Expert System Assisted Test Data Generation for Software Branch Coverage
James H. Cross II, Kai-Hsiung Chang, W. Homer Carlisle, David B. Brown
Data Knowl. Eng.3
1989 An Intelligent Test Data Generator for Software Branch Coverage
Kai-Hsiung Chang, James H. Cross II, W. Homer Carlisle, David B. Brown
SEKE3