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Chaitanya Kallepalli

dblp:53/6730 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2001
—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

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%

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

TopicWeightPapersLastEvidence papers
Software testing › software reliability
reliability assessment		 0.012001
Measuring and Modeling Usage and Reliability for Statistical Web Testing · IEEE Trans. Software Eng. 2001
Software testing › software reliability
software reliability measurement		 0.012001
Measuring and Modeling Usage and Reliability for Statistical Web Testing · IEEE Trans. Software Eng. 2001
Software testing
statistical testing		 0.012001
Measuring and Modeling Usage and Reliability for Statistical Web Testing · IEEE Trans. Software Eng. 2001
Software testing
web application testing		 0.012001
Measuring and Modeling Usage and Reliability for Statistical Web Testing · IEEE Trans. Software Eng. 2001

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

statistical testing · 0.0log analysis · 0.0
YearPublicationVenuePosition
2001 Measuring and Modeling Usage and Reliability for Statistical Web Testing
abstract
Statistical testing and reliability analysis can be used effectively to assure quality for Web applications. To support this strategy, we extract Web usage and failure information from existing Web logs. The usage information is used to build models for statistical Web testing. The related failure information is used to measure the reliability of Web applications and the potential effectiveness of statistical Web testing. We applied this approach to analyze some actual Web logs. The results demonstrated the viability and effectiveness of our approach.
Chaitanya Kallepalli, Jeff Tian
 IEEE Trans. Software Eng.1