Call for Papers |
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-- apologies, if any cross-posting.
Call for Book Chapters: Software Engineering with Large Language Models (SE with LLMs) https://tinyurl.com/SE-LLMs | [email protected] (Muhammed Waseem) Aims of the call The aim of this call for book chapters is to establish a foundation that fosters research and development initiatives to produce publishable, applicable results and solutions that are focused on LLMs for SE. The chapters can provide a platform to discuss active and emerging challenges, design and development of solutions to address those challenges and identify areas of futuristic research to develop emerging and next-generation of LLMs for SE processes and practices. Potential contributors and audience Authors could be experts in the field of software engineering and AI, while readers may include software engineers, AI researchers, and technology enthusiasts. Academic researchers focused on investigating the state-of-the-art, emerging and futuristic challenges, novel solutions, experiences, opinions and other relevant aspects of research and development of LLMs for SE. Industrial practitioners who may be interested in notations, tools, frameworks and patterns for the engineering and development and application of LLMs in an industrial context. Objectives and implications The objective is to provide a comprehensive guide on how to use LLMs-based bots for streamlining software engineering processes. The implications include reshaping software engineering practices and potentially revolutionizing the industry by employing AI-driven automation. This call aims to find answers to some fundamental questions such as, - How LLMs can support SE processes? - What existing tools, technologies, and architectures are available to support LLM-driven SE? - Which systems, domains, and applications can benefit from the applications of LLMs in SE context? Topics of Interests - Introduction to the LLMs in SE Introduction to LLM and its applications Overview of existing LLM tools and frameworks Towards a software engineering paradigm shift Integration of Bots with Open and Commercial Software Future directions for LLM research - Applications of LLMs in SE Processes Enhancing requirements engineering with LLMs LLM-supported software architecture design Code generation with LLMs LLMs as Debugging and troubleshooting assistance Code review and analysis LLMs in test case generation Enhancing communication and collaboration Integrating LLMs into agile development processes LLM-driven project management assistance Software documentation generation with LLMs LLM-assisted codere factoring Infrastructure planning supported by LLMs LLM-informed deployment strategies Configuration management using LLMs LLMs-supported containerization and orchestration LLMs-supported continuous integration and delivery (CI/CD) Monitoring and logging support Performance optimization using LLMs - LLMs in Software Engineering Research Literature rereview Identifying research gaps Hypothesis generation Experiment design Data collecting and analysis Addressing Bias and Ensuring Fairness in Research and Development with LLMs - Ethical, Legal, and Regulatory Considerations of LLMs in SE Data privacy and security Intellectual property concerns Addressing bias and ensuring fairness Legal and regulatory aspects, such as GDPR and CCPA Exploring the Downsides of LLM Bots Balancing human-AI collaboration in software engineering The impact of LLMs on employment and workforce Mitigating the risk of malicious use of LLM technology Developing ethical guidelines for LLM deployment - Case Studies and Best Practices Case study: LLMs improving code quality and maintainability Case Study: Code generation with LLMs Case study: LLMs in the development of secure applications Case study: LLMs optimizing CI/CD pipelines Case study: LLMs in generating automated tests Case study: LLMs facilitating software documentation Best practices for selecting and adopting LLM tools Best practices for integrating LLMs in agile development Best practices for human-AI collaboration in software teams Important Dates Chapter submission deadline - 10 December 2023 Editorial review and feedback to authors - 10 January 2024 Revised chapter submission deadline - 10 February 2024 Final proofreading and submission to the publisher - May 2024 Editors Muhammed Waseem - University of Jyväskylä, Finland | [email protected] (Contact) Tommi Mikkonen University of Jyväskylä, Finland Lancaster University Leipzig, Germany Wuhan University, China Tampere University, Finland |
Credits and Sources |
| [1] SE with LLMs 2023 : Call for Book Chapters (Elsevier) Software Engineering with Large Language Models |
