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Haider Riaz Khan

dblp:184/8053 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-4586-6145ORCID · reported

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
Software testing · 100%
Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
combinatorial testing		 0.212016
Applying combinatorial test data generation to big data applications · ASE 2016
Software testing
test input generation		 0.212016
Applying combinatorial test data generation to big data applications · ASE 2016

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

combinatorial testing · 0.5
YearPublicationVenuePosition
2016 Applying combinatorial test data generation to big data applications
abstract
Big data applications (e.g., Extract, Transform, and Load (ETL) applications) are designed to handle great volumes of data. However, processing such great volumes of data is time-consuming. There is a need to construct small yet effective test data sets during agile development of big data applications.
Nan Li 0008, Yu Lei 0001, Haider Riaz Khan, Jingshu Liu, Yun Guo
 ASE3