Requirements Engineering: Foundation for Software Quality

<p>Decision Making in Requirements Engineering.- Risk-Aware
Multi-Stakeholder Next Release Planning using Multi-Objective Optimization.- Goal-based Decision Making - Using
Goal-oriented Problem Structuring and Evaluation Visualization for Multi
Criteria Decision Analysis.- Optimizing the Incremental Delivery of Software
Features under Uncertainty.- Open Source in Requirements Engineering.- Do
Information Retrieval Algorithms for Automated Traceability Perform Effectively
on Issue Tracking System Data.- How Firms Adapt and Interact in Open Source
Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns.- Natural
Language.- Evaluating the Interpretation of Natural Language Trace Queries.- Indicators
for Open Issues in Business Process Models.- Compliance in Requirements
Engineering.- Automated Classification of Legal Cross References Based on
Semantic Intent.- Deriving Metrics for Estimating the Effort Needed in
Requirements Compliance Work.- Requirements Engineering in the Automotive
Domain.- Detecting Requirements Defects during a Project Lifetime: an Analysis
of a 5-year Automotive Project at Bosch.- Take Care of Your Modes! An
Investigation of Defects in Automotive Requirements.- Empirical Studies in Requirements
Engineering.- Gamified Requirements Engineering: Model and Experimentation.- Documenting
Relations between Requirements and Design Decisions: A Case Study on Design
Session Transcripts.- The Use and Effectiveness of User Stories in Practice.- Requirements
Engineering Foundations.- Foundations for Transparency Requirements Engineering.-
What is essential? - A Pilot Survey on Views about the Requirements Metamodel
of reqT.org.- Human Factors in Requirements Engineering.- Peoples' Capabilities
are a Blind Spot in RE Research and Practice.- Customer Involvement in
Continuous Deployment: A Systematic Literature Review.- Research Methodology in
Requirements Engineering.- Common Threats and Mitigation Strategies in
Requirements Engineering Experiments with Student Participants.- Lean
Development in Design Science Research: Deliberating Principles, Prospects and
Pitfalls.- How do We Read Specifications? Experiences from an Eye Tracking
Study.</p>