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20242026
most citedApplying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Controlled Experiment

9 citations · 28 across the 15 of their papers we have counts for

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Showing 2024Show all

11 papers · 1 filter

cs.SE2024

Replications, Revisions, and Reanalyses: Managing Variance Theories in Software Engineering

Julian Frattini, Jannik Fischbach, Davide Fucci +2

Variance theories quantify the variance that one or more independent variables cause in a dependent variable. In software engineering (SE), variance theories are used to quantify -…

cs.SE2024

Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems

Oleksandr Kosenkov, Parisa Elahidoost, Tony Gorschek +5

Context: As the diversity and complexity of regulations affecting Software-Intensive Products and Services (SIPS) is increasing, software engineers need to address the growing regu…

cs.SE2024

Regulatory Requirements Engineering in Large Enterprises: An Interview Study on the European Accessibility Act

Oleksandr Kosenkov, Michael Unterkalmsteiner, Daniel Mendez +1

Context: Regulations, such as the European Accessibility Act (EAA), impact the engineering of software products and services. Managing that impact while providing meaningful inputs…

cs.SE2024★ 5 cited

Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline

Julian Frattini, Lloyd Montgomery, Davide Fucci +3

Requirements quality research, which is dedicated to assessing and improving the quality of requirements specifications, is dependent on research artifacts like data sets (containi…

cs.SE2024

Practices, Challenges, and Opportunities When Inferring Requirements From Regulations in the FinTech Sector - An Industrial Study

Parisa Elahidoost, Daniel Mendez, Michael Unterkalmsteiner +3

[Context and motivation]: Understanding and interpreting regulatory norms and inferring software requirements from them is a critical step towards regulatory compliance, a matter o…

cs.SE2024★ 2 cited

Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes

Julian Frattini, Jannik Fischbach, Davide Fucci +2

Requirements engineering aims to fulfill a purpose, i.e., inform subsequent software development activities about stakeholders' needs and constraints that must be met by the system…

cs.SE2024

On Developing an Artifact-based Approach to Regulatory Requirements Engineering

Oleksandr Kosenkov, Michael Unterkalmsteiner, Jannik Fischbach +3

Context: Regulatory acts are a challenging source when eliciting, interpreting, and analyzing requirements. Requirements engineers often need to involve legal experts who, however,…

cs.SE2024

Towards an Approach to Pattern-based Domain-Specific Requirements Engineering

T. Chuprina, D. Méndez, V. Nigam +2

Requirements specification patterns have received much attention as they promise to guide the structured specification of natural language requirements. By using them, the intentio…

cs.SE2024

NLP4RE Tools: Classification, Overview, and Management

Julian Frattini, Michael Unterkalmsteiner, Davide Fucci +1

Tools constitute an essential contribution to natural language processing for requirements engineering (NLP4RE) research. They are executable instruments that make research usable…

cs.SE2024★ 5 cited

A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment

Julian Frattini, Davide Fucci, Richard Torkar +1

The quality of requirements specifications may impact subsequent, dependent software engineering (SE) activities. However, empirical evidence of this impact remains scarce and too…

cs.SE2024★ 9 cited

Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Controlled Experiment

Julian Frattini, Davide Fucci, Richard Torkar +4

It is commonly accepted that the quality of requirements specifications impacts subsequent software engineering activities. However, we still lack empirical evidence to support org…