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20192022
most citedAcademic Search Engines: Constraints, Bugs, and Recommendation

1 citations · 1 across the 5 of their papers we have counts for

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cs.SE20221 cited

Academic Search Engines: Constraints, Bugs, and Recommendation

Zheng Li, Austen Rainer

Background: Academic search engines (i.e., digital libraries and indexers) play an increasingly important role in systematic reviews however these engines do not seem to effectivel…

cs.SE2021

Towards a corpus for credibility assessment in software practitioner blog articles

Ashley Williams, Matthew Shardlow, Austen Rainer

Blogs are a source of grey literature which are widely adopted by software practitioners for disseminating opinion and experience. Analysing such articles can provide useful insigh…

cs.SE2021

Storytelling in human--centric software engineering research

Austen Rainer

BACKGROUND: Software engineering is a human activity. People naturally make sense of their activities and experience through storytelling. But storytelling does not appear to have…

cs.SE2021

Practitioner-generated blog posts as evidence for software engineering research: attitudinal survey and preliminary checklist

Austen Rainer, Ashley Williams

Background: Blog posts are frequently used by software practitioners to share information about their practice. Blog posts therefore provide a potential source of evidence for soft…

cs.SE2020

Retrieving and mining professional experience of software practice from grey literature: an exploratory review

Austen Rainer, Ashley Williams, Vahid Garousi +1

Background: Retrieving and mining practitioners' self--reports of their professional experience of software practice could provide valuable evidence for research. We are, however,…

cs.SE2020

Software-testing education: A systematic literature mapping

Vahid Garousi, Austen Rainer, Per Lauvås +1

Context: With the rising complexity and scale of software systems, there is an ever-increasing demand for sophisticated and cost-effective software testing. To meet such a demand,…