Text Mining for Standardized Quality Criteria of Natural-Language IT RequirementsRE@Next
Without a precise specification, an IT project might not remain on time and on budget constraints, or it might lead to a different outcome than desired. It could also contain technical debt, such as design or implementation flaws that lead to security breaches, liability risks, or budget overruns in the future. This paper describes our ongoing work to derive a comprehensive set of standardized criteria that IT requirements must meet in accordance with IEEE 1233-1996 and ISO/IEC/IEEE 29148-2011. We also use these criteria for a text-mining approach to identify IT requirements that violate these standards. Our preliminary results are promising: In our biased dataset, we can use text features that are easy to compute, to filter out requirements that do not comply with the standards. Our beneficiaries are auditors, developers, Scrum teams, and other stakeholders whose projects are highly dependent on extensive IT requirements specification.
Fri 24 SepDisplayed time zone: Eastern Time (US & Canada) change
08:00 - 09:20 | Quality RequirementsIndustrial Innovation Papers / Research Papers / RE@Next! Papers at Basilica Chair(s): Jennifer Horkoff Chalmers and the University of Gothenburg | ||
08:00 30mTalk | Exploring Explainability: A Definition, a Model, and a Knowledge CatalogueResearch Paper Research Papers Larissa Chazette Leibniz University Hannover, Wasja Brunotte Leibniz University Hannover, Timo Speith Saarland University Pre-print | ||
08:30 30mTalk | A Pipeline for Automating Labeling to Prediction in Classification of NFRsIndustrial Innovation Paper Industrial Innovation Papers Ranit Chatterjee TCS Research, Abdul Ahmed TCS Research, Preethu Rose Anish TCS Research, Brijendra Suman TCS Research, Prashant Lawhatre TCS Research, Smita Ghaisas TCS Research | ||
09:00 20mTalk | Text Mining for Standardized Quality Criteria of Natural-Language IT RequirementsRE@Next RE@Next! Papers |