activity
20162023
most citediStar 2.0 Language Guide

76 citations · 183 across the 14 of their papers we have counts for

collaborators

15 papers

cs.SE2023★ 3 cited

Investigating ChatGPT's Potential to Assist in Requirements Elicitation Processes

Krishna Ronanki, Christian Berger, Jennifer Horkoff

Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the re…

cs.CY2023★ 13 cited

RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems

Krishna Ronanki, Beatriz Cabrero-Daniel, Jennifer Horkoff +1

Complying with the EU AI Act (AIA) guidelines while developing and implementing AI systems will soon be mandatory within the EU. However, practitioners lack actionable instructions…

cs.SE2023

Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges

Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss +4

Software that contains machine learning algorithms is an integral part of automotive perception, for example, in driving automation systems. The development of such software, speci…

cs.SE2023

Requirements Engineering for Automotive Perception Systems: an Interview Study

Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay +6

Background: Driving automation systems (DAS), including autonomous driving and advanced driver assistance, are an important safety-critical domain. DAS often incorporate perception…

cs.SE2022★ 2 cited

Non-Functional Requirements for Machine Learning: An Exploration of System Scope and Interest

Khan Mohammad Habibullah, Gregory Gay, Jennifer Horkoff

Systems that rely on Machine Learning (ML systems) have differing demands on system quality compared to traditional systems. Such quality demands, known as non-functional requireme…

cs.SE2021

Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry

Khan Mohammad Habibullah, Jennifer Horkoff

Machine Learning (ML) is an application of Artificial Intelligence (AI) that uses big data to produce complex predictions and decision-making systems, which would be challenging to…

cs.SE2021★ 8 cited

Managing Traceability Information Models: Not such a simple task after all?

Salome Maro, Jan-Philipp Steghöfer, Eric Knauss +7

Practitioners are poorly supported by the scientific literature when managing traceability information models (TIMs), which capture the structure and semantics of trace links. In p…

cs.SE2020

Modeling and Analysis of Boundary Objects and Methodological Islands in Large-Scale Systems Development

Rebekka Wohlrab, Jennifer Horkoff, Rashidah Kasauli +3

Large-scale companies commonly face the challenge of managing relevant knowledge between different organizational groups, particularly in increasingly agile contexts. In previous s…

cs.SE2020★ 28 cited

Charting Coordination Needs in Large-Scale Agile Organisationswith Boundary Objects and Methodological Islands

Rashidah Kasauli, Rebekka Wohlrab, Eric Knauss +3

Large-scale system development companies are increasingly adopting agile methods. While this adoption may improve lead-times, such companies need to balance two trade-offs: (i) the…

cs.SE2019★ 52 cited

Challenges of Scaled Agile for Safety-Critical Systems

Jan-Philipp Steghöfer, Eric Knauss, Jennifer Horkoff +1

Automotive companies increasingly adopt scaled agile methods to allow them to deal with their organisational and product complexity. Suitable methods are needed to ensure safety wh…

cs.SE2019★ 1 cited

Strategic API Analysis and Planning: APIS Technical Report

Jennifer Horkoff, Juho Lindman, Imed Hammouda +1

Traditionally, software APIs (application programming interfaces) have been viewed from a technical perspective, as a means to separate implementation from functional calls, and as…

cs.CY2018

Involving External Stakeholders in Project Courses

Jan-Philipp Steghöfer, Håkan Burden, Regina Hebig +6

Problem: The involvement of external stakeholders in capstone projects and project courses is desirable due to its potential positive effects on the students. Capstone projects par…

cs.SE2018

T-Reqs: Tool Support for Managing Requirements in Large-Scale Agile System Development

Eric Knauss, Grischa Liebel, Jennifer Horkoff +4

T-Reqs is a text-based requirements management solution based on the git version control system. It combines useful conventions, templates and helper scripts with powerful existing…

cs.SE2016★ 76 cited

iStar 2.0 Language Guide

Fabiano Dalpiaz, Xavier Franch, Jennifer Horkoff

The i* modeling language was introduced to fill the gap in the spectrum of conceptual modeling languages, focusing on the intentional (why?), social (who?), and strategic (how? how…

cs.SE2016

Desiree: a Refinement Calculus for Requirements Problems

Feng-Lin Li, Alexander Borgida, Giancarlo Guizzardi +3

The requirements elicited from stakeholders are typically informal, incomplete, ambiguous, and inconsistent. It is the task of Requirements Engineering to transform them into an el…