Requirements Engineering: Foundation for Software Quality: 29th International Working Conference, REFSQ 2023, Barcelona, Spain, April 17-20, 2023, Proceedings

This book presents the refereed proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality,REFSQ 2023,which includes technical design and scientific evaluation papers,short research previews,vision papers,and experience reports on various topics in requirements engineering,such as requirements communication,NLP,AI,crowd RE,and practice.

Format: Paperback / softback
Length: 368 pages
Publication date: 04 April 2023
Publisher: Springer International Publishing AG

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

The 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, was held in Barcelona, Spain, from April 17 to 20, 2023. This conference brought together experts from around the world to discuss the latest advancements in requirements engineering and its application to software quality.

The proceedings of the conference include a total of 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports. These papers were carefully reviewed and selected from a pool of 78 submissions, covering various topics related to requirements engineering.

The papers were organized into topical sections, including:

Requirements Communication and Conceptualization: This section focused on the challenges and strategies involved in effectively communicating and conceptualizing requirements. It explored techniques such as natural language processing (NLP) and machine learning for AI, as well as the role of requirements engineering in the development of artificial intelligence (AI) systems.

NLP and Machine Learning for AI: This section explored the use of NLP and machine learning techniques in requirements engineering. It discussed how these technologies can be leveraged to automate the analysis, extraction, and management of requirements, as well as their integration with other software development tools and processes.

RE for Artificial Intelligence: This section explored the application of requirements engineering to the development of AI systems. It discussed the challenges and opportunities associated with AI, as well as the best practices and methodologies for requirements engineering in this domain.

Crowd RE: This section focused on the use of crowdsourcing and crowdsourcing techniques in requirements engineering. It discussed how these techniques can be used to gather and validate requirements, as well as their advantages and disadvantages.

RE in Practice: This section showcased real-world case studies and experiences of applying requirements engineering in various industries and domains. It discussed the challenges and successes encountered by practitioners, as well as the lessons learned and best practices for successful requirements engineering practices.

Overall, the proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, provide a valuable resource for researchers, practitioners, and students in the field of requirements engineering. They offer insights into the latest trends, challenges, and opportunities in this field, and serve as a platform for exchanging ideas and knowledge.

Weight: 593g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031297854
Edition number: 1st ed. 2023