Dr Ashley Williams
Lecturer
Research outputs
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Journal articles
Rainer, A., Williams, A., Garousi, V., Felderer, M. (2020) 'Retrieving and mining professional experience of software practice from grey literature: An exploratory review.' IET Software, 14(6) pp. 665-676.
Rainer, A., Williams, A. (2019) 'Using blog-like documents to investigate software practice: Benefits, challenges, and research directions.' Journal of Software: Evolution and Process, 31(11) pp. e2197-e2197.
Rainer, A., Williams, A. (2018) 'Heuristics for improving the rigour and relevance of grey literature searches for software engineering research.' Information and Software Technology, 106pp. 231-233.
Williams, A. (2015) 'A comparison of the performance and scalability of relational and document-based web-systems for large scale applications in a rehabilitation context.'
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Non-peer reviewed articles / reviews
Rainer, A., Williams, A. (2018) Do software engineering practitioners cite research on software testing in their online articles? A structured search of grey data..
Williams, A., Rainer, A. (2018) A preliminary, structured review of how professional experience is detected in natural–language texts.
Williams, A., Rainer, A. (2017) The analysis and synthesis of previous work on credibility assessment in online media: technical report.
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Conference papers
Attwood, S., Williams, A. (2023) 'Exploring the UK Cyber Skills Gap through a mapping of active job listings to the Cyber Security Body of Knowledge (CyBOK).' pp. 273-278.
Williams, A., Shardlow, M. (2022) 'Extending a corpus for assessing the credibility of software practitioner blog articles using meta-knowledge.' In EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering. Gothenburg Sweden, 13/6/2022 - 15/6/2022. Staron, M., Berger, C., Simmonds, J., Prikladnicki, R. (ed.) Association for Computing Machinery (ACM), pp. 305-310.
Williams, A., Buchan, J. (2022) 'Using the case survey methodology for finding high-quality grey literature in software engineering.' In EASE '22: International Conference on Evaluation and Assessment in Software Engineering 2022. Gothenburg Sweden, 13/6/2022 - 15/6/2022. Staron, M., Berger, C., Simmonds, J., Prikladnicki, R. (ed.) Association for Computing Machinery (ACM), pp. 1-9.
Williams, A., Shardlow, M., Rainer, A. (2021) 'Towards a corpus for credibility assessment in software practitioner blog articles.' In EASE 2021: Evaluation and Assessment in Software Engineering. Trondheim, Norway, 21/6/2021 - 23/6/2021. Chitchyan, R., Li, J. (ed.) New York: Association for Computing Machinery (ACM), pp. 100-108.
Williams, A., Rainer, A. (2019) 'How do empirical software engineering researchers assess the credibility of practitioner-generated blog posts?.' ACM, pp. 211-220.
Williams, A., Rainer, A. (2019) 'Do software engineering practitioners cite software testing research in their online articles?: A larger scale replication.' ACM, pp. 292-297.
Rainer, A., Williams, A. (2018) 'Using blog articles in software engineering research: benefits, challenges and case–survey method.' IEEE, pp. 201-209.
Williams, A. (2018) 'Using reasoning markers to select the more rigorous software practitioners’ online content when searching for grey literature.' ACM, pp. 46-56.
Williams, A. (2018) 'Do software engineering practitioners cite research on software testing in their online articles?: A preliminary survey..' ACM, pp. 151-156.
Williams, A., Rainer, A. (2017) 'Toward the use of blog articles as a source of evidence for software engineering research.' ACM, pp. 280-285.
Williams, A., Rainer, A. (2016) 'Identifying practitioners’ arguments and evidence in blogs: insights from a pilot study.' IEEE, pp. 345-348.
Williams, A., Rainer, A. (2016) 'Identifying practitioners' arguments and evidence in blogs: insights from a pilot study.' In 23rd Asia-Pacific Software Engineering Conference (APSEC). Hamilton, NEW ZEALAND, 6/12/2016 - 9/12/2016. Potanin, A., Murphy, G.C., Reeves, S., Dietrich, J. (ed.) IEEE, pp. 345-348.
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Presentations
Williams, A. Assessing the credibility of online articles. [Presentation]