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20172023
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24 citations · 99 across the 13 of their papers we have counts for

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cs.SE202316 cited

Requirements Quality Research: a harmonized Theory, Evaluation, and Roadmap

Julian Frattini, Lloyd Montgomery, Jannik Fischbach +3

High-quality requirements minimize the risk of propagating defects to later stages of the software development life cycle. Achieving a sufficient level of quality is a major goal o…

cs.SE2023

MLSMM: Machine Learning Security Maturity Model

Felix Jedrzejewski, Davide Fucci, Oleksandr Adamov

Assessing the maturity of security practices during the development of Machine Learning (ML) based software components has not gotten as much attention as traditional software deve…

cs.SE20232 cited

Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts

Julian Frattini, Lloyd Montgomery, Davide Fucci +3

Requirements quality literature abounds with publications presenting artifacts, such as data sets and tools. However, recent systematic studies show that more than 80% of these art…

cs.SE2023

Replication in Requirements Engineering: the NLP for RE Case

Sallam Abualhaija, F. BaŞAk Aydemir, Fabiano Dalpiaz +4

[Context]} Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity de…

cs.SE2022

Cognition in Software Engineering: A Taxonomy and Survey of a Half-Century of Research

Fabian Fagerholm, Michael Felderer, Davide Fucci +8

Cognition plays a fundamental role in most software engineering activities. This article provides a taxonomy of cognitive concepts and a survey of the literature since the beginnin…

cs.SE20217 cited

Vision for an Artefact-based Approach to Regulatory Requirements Engineering

Oleksandr Kosenkov, Michael Unterkalmsteiner, Daniel Mendez +1

Background: Nowadays, regulatory requirements engineering (regulatory RE) faces challenges of interdisciplinary nature that cannot be tackled due to existing research gaps. Aims: W…