Naming the Pain in Requirements Engineering: Contemporary Problems, Causes, and Effects in Practice
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Abstract (arXiv)
Requirements Engineering (RE) has received much attention in research and practice due to its importance to software project success. Its interdisciplinary nature, the dependency to the customer, and its inherent uncertainty still render the discipline difficult to investigate. This results in a lack of empirical data. These are necessary, however, to demonstrate which practically relevant RE problems exist and to what extent they matter. Motivated by this situation, we initiated the Naming the Pain in Requirements Engineering (NaPiRE) initiative which constitutes a globally distributed, bi-yearly replicated family of surveys on the status quo and problems in practical RE. In this article, we report on the qualitative analysis of data obtained from 228 companies working in 10 countries in various domains and we reveal which contemporary problems practitioners encounter. To this end, we analyse 21 problems derived from the literature with respect to their relevance and criticality in dependency to their context, and we complement this picture with a cause-effect analysis showing the causes and effects surrounding the most critical problems. Our results give us a better understanding of which problems exist and how they manifest themselves in practical environments. Thus, we provide a first step to ground contributions to RE on empirical observations which, until now, were dominated by conventional wisdom only.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Nov 2016.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 2; 2026: 2.
7 papers.
- 2021Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Reviewcited by 7
- 2022Detecting Privacy Requirements from User Stories with NLP Transfer Learning Modelscited by 1
- 2021Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviewscited by 0
- 2025Automated Alignment between Elicitation Interviews and Requirementscited by 0
- 2025AI for Requirements Engineering: Industry adoption and Practitioner perspectivescited by 0
- 2026QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiationcited by 0
- 2026How Well Can AI Generate Backlogs from App Mockups?cited by 0
- 2026How Well Can AI Generate Backlogs from App Mockups?24 Jul 2026
- 2026QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiation12 Mar 2026
- 2025AI for Requirements Engineering: Industry adoption and Practitioner perspectives3 Nov 2025
- 2025Automated Alignment between Elicitation Interviews and Requirements8 Oct 2025
- 2022Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models2 Feb 2022
- 2021Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews6 Apr 2021
- 2021Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review6 Mar 2021