Colin M. Werner

Orcid: 0000-0002-4541-7796

According to our database1, Colin M. Werner authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The role of informal communication in building shared understanding of non-functional requirements in remote continuous software engineering.
Requir. Eng., December, 2023

2022
Continuously Managing NFRs: Opportunities and Challenges in Practice.
IEEE Trans. Software Eng., 2022

Uncovering the Benefits and Challenges of Continuous Integration Practices.
IEEE Trans. Software Eng., 2022

Towards privacy compliance: A design science study in a small organization.
Inf. Softw. Technol., 2022

A Case Study of Building Shared Understanding of Non-Functional Requirements in a Remote Software Organization.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

2021
Towards A Theory of Shared Understanding of Non-Functional Requirements in Continuous Software Engineering.
Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

2020
GDPR Compliance in the Context of Continuous Integration.
CoRR, 2020

The Lack of Shared Understanding of Non-Functional Requirements in Continuous Software Engineering: Accidental or Essential?
Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

2019
Can a Machine Learn Through Customer Sentiment?: A Cost-Aware Approach to Predict Support Ticket Escalations.
IEEE Softw., 2019

What Can the Sentiment of a Software Requirements Specification Document Tell Us?
Proceedings of the 27th IEEE International Requirements Engineering Conference Workshops, 2019

Continuous Requirements: An Example Using GDPR.
Proceedings of the 27th IEEE International Requirements Engineering Conference Workshops, 2019

2018
How Angry are Your Customers? Sentiment Analysis of Support Tickets that Escalate.
Proceedings of the 1st International Workshop on Affective Computing for Requirements Engineering, 2018

2017
An Empirical Study of the Software Development Process, Including Its Requirements Engineering, at Very Large Organization: How to Use Data Mining in Such a Study.
Proceedings of the Requirements Engineering for Internet of Things, 2017


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