Jennifer Horkoff
Jennifer has a background in Requirements Engineering (RE) as part of Software Engineering. Her interests include early requirements (goal) modeling, model reasoning, Business Intelligence Modeling, modeling tools and scalability, empirical RE and modeling research, and creativity for RE. Jennifer is on the program and/or organizing committees of several international conferences including the IEEE RE conference, the Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ), Conference on Advanced Information System Engineering (CAiSE), the International Conference on Software Engineering (ICSE), and the IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM).
Jennifer's full academic page can be found here: http://www.cse.chalmers.se/~jenho/index.html
Showing 47 publications
Laws, Ethics, and Fairness in Software Engineering
Design pattern recognition: a study of large language models
Extending Behavior Trees for Robotic Missions with Quality Requirements
Design Patterns Understanding and Use in the Automotive Industry: An Interview Study
Requirements Engineering and Machine Learning: Intentionality and the Crowd
Automating Requirements Review in the Automotive Sector: A Tailored AI Approach
Editorial Special issue on IEEE RE 2023
A SURVEY OF RECENT AUTOMOTIVE SOFTWARE SECURITY VULNERABILITIES: TRENDS AND ATTACK VECTORS
Operationalizing Machine Learning Using Requirements-Grounded MLOps
A Framework for Managing Quality Requirements for Machine Learning-Based Software Systems
Scoping of Non-Functional Requirements for Machine Learning Systems
Requirements and software engineering for automotive perception systems: an interview study
Research Highlights in Evidence-Based Software Engineering
Definition and Use of iStar 2.0
Comparing Programming Language Models for Design Pattern Recognition
Comparing Word-Based and AST-Based Models for Design Pattern Recognition
Requirements Engineering for Automotive Perception Systems: An Interview Study
Non-Functional Requirements for Machine Learning: An Exploration of System Scope and Interest
3rd Workshop on Requirements Engineering for Artificial Intelligence (RE4AI)
Requirements engineering challenges and practices in large-scale agile system development
Requirements engineering challenges and practices in large-scale agile system development
Managing Traceability Information Models: Not Such a Simple Task After All?
Evaluating the Effects of Different Requirements Representations on Writing Test Cases
Creative goal modeling for innovative requirements
Special section: Extended papers from REFSQ 2018
Goal-oriented requirements engineering: an extended systematic mapping study
Towards effective assessment for social engineering attacks
Challenges of Scaled Agile for Safety-Critical Systems
Non-functional requirements for machine learning: Challenges and new directions
Experiences with teaching EARS to first-year software engineering students
Involving External Stakeholders in Project Courses
Efficiency and effectiveness of requirements elicitation techniques for children
What Do Agile Teams Find Important for Their Success?
T-Reqs: Tool support for managing requirements in large-scale agile system development
Modeling support for strategic API planning and analysis
Experiences applying e<sup>3</sup> value modeling in a cross-company study
Goals, workflow, and value: Case study experiences with three modeling frameworks
Quality Requirements in Agile as a Knowledge Management Problem: More than Just-in-Time
Using goal models to visualize and prioritize requirements for learning management systems
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Showing 2 research projects
FAMER - Facilitating Multi-Party Engineering of Requirements
Transforming Automotive Architecture with Assistance from AI