ChatGPT is an artificial intelligence chatbot developed by OpenAI, able of interacting in a conversational way by taking into account successive input prompts. Among many possible uses, ChatGPT has been found to possess code generation capabilities, being able to generate code snippets and assist developers in their programming tasks. This paper performs a qualitative exploration of perceptions of early adopters regarding the use of ChatGPT for code generation, acknowledging the substantial impact this tool can have in the software development landscape. We collected a diverse set of discussions from early adopters of ChatGPT code generation capabilities and, leveraging an open card sorting methodology categorized it into relevant topics with the goal of extracting insights into the experiences, opinions, and challenges they faced. We found that early adopters (i) report their own mixed usage experiences, (ii) share suggestions for prompt engineering, (iii) debate the extent to which they can trust generated code, and (iv) discuss the impact that ChatGPT can have on the software development process. We discuss the implications of the insights we extracted from early adopters’ perspectives and provide recommendations for future research.

Gian Luca Scoccia

Gran Sasso Science Institute

Automated negotiation is a process of autonomously overcoming conflicts between intelligent agents and achieving agreement. The literature has proposed several approaches to automated negotiation. To this end, the aim of this study is to summarize the state-of-the-art on automated negotiation for the research community to identify the research gap and to conduct further research in the automated negotiation domain. To achieve this goal, we conducted a systematic mapping study (SMS) on the automated negotiation literature on a set of 73,760 candidate studies. Through a precise search and selection procedure, we identified a set of 21 primary studies, published between the year 2017 and June 2022. As preliminary results of this mapping study, we provide the classification framework to identify and evaluate the automated negotiation literature, and an up-to-date map of the state-of-the-art on automated negotiation focusing on (i) the specific purpose of negotiation, (ii) the application domain in which it is employed, and (iii) how it is carried out in terms of inputs, outputs, and used techniques.

Mashal Afzal Memon

University of L’Aquila, Italy

Gian Luca Scoccia

Gran Sasso Science Institute

Marco Autili

University of L'Aquila, Italy

Italy

no description available

Ivano Malavolta

Vrije Universiteit Amsterdam

Netherlands

Kishan Nirghin

Vrije Universiteit Amsterdam

Gian Luca Scoccia

Gran Sasso Science Institute

Simone Romano

University of Salerno

Italy

Salvatore Lombardi

University of Basilicata

Giuseppe Scanniello

University of Salerno

Italy

Patricia Lago

Vrije Universiteit Amsterdam

Netherlands