Quantum computing is no longer just a scientific curiosity;it is rapidly evolving into a commercially viable technology that has the potential to surpass the limitations of classical computation. As a result of this t...
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ISBN:
(纸本)9781665495981
Quantum computing is no longer just a scientific curiosity;it is rapidly evolving into a commercially viable technology that has the potential to surpass the limitations of classical computation. As a result of this transition, a new discipline known as quantum softwareengineering has emerged, which is needed to describe unique methodologies for developing large-scale quantum applications. In the pursue of building this new body of knowledge, we undertake a mining study to elicit the purposes quantum programming is being used for, and steer further research.
Code search can recommend relevant source code according to the development intention (query statement) of the demander, thereby improving the efficiency of software development. In the research of deep code search mo...
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Bug-fix benchmarks are fundamental in advancing various subfields of softwareengineering such as automatic program repair (APR) and fault localization (FL). A good benchmark must include recent examples that accurate...
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User stories are widely regarded as an effective method for articulating software requirements, especially within agile development. However, the brevity often encouraged in user stories can lead to a lack of detail, ...
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the aviation industry is one of the most dynamic sectors, with safety and quality of service dependent on skilled aircraft maintenance personnel. European legislation, in particular Regulation (EC) No 2042/2003 and su...
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As generative AI services continue to expand across various industries, especially in the field of softwareengineering, it is critical to comprehend how these services represent different groups of people. Despite so...
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Numerous software defect prediction methods utilize semantic information and software metrics as code features, neglecting the structural knowledge inherent in the source code. Other studies improve feature completene...
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knowledge management has become a crucial activity for organizations focused on knowledge. this is particularly true for software development companies, as their knowledge has become a complex factor directly influenc...
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software repositories have a plethora of information about software development, encompassing details such as code contributions, bug reports and code reviews. this rich source of data can be harnessed to enhance not ...
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ISBN:
(纸本)9798400717017
software repositories have a plethora of information about software development, encompassing details such as code contributions, bug reports and code reviews. this rich source of data can be harnessed to enhance not only software quality and development velocity but also to gain insights into team collaboration and inform strategic decision-making throughout the software development lifecycle. Previous studies show that many stakeholders cannot benefit from the project information due to the technical knowledge and expertise required to extract the project data. To lower the barrier to entry by automating the process of extracting and analyzing repository data, we explored the potential of using an LLM to develop a chatbot for answering questions related to software repositories. We evaluated the chatbot on 150 software repository-related questions. We found that the chatbot correctly answered one question. this result prompted us to shift our focus to investigate the challenges in adopting LLMs for the out-of-thebox development of software repository chatbots. We identified five main challenges related to retrieving data, structuring the data, and generating the answer to the user's query. Among these challenges, the most frequent (83.3%) is the inaccurate retrieval of data to answer questions. In this paper, we share our experience and challenges in developing an LLM-based chatbot to answer software repository-related questions within the SE community. We also provide recommendations on mitigating these challenges. Our findings will serve as a foundation to drive future research aimed at enhancing LLMs for adoption in extracting useful information from software repositories, fostering advancements in natural language understanding, data retrieval, and response generation within the context of software repository-related questions and analytics.
the proceedings contain 13 papers. the special focus in this conference is on Logic and engineering of Natural Language Semantics. the topics include: Logic Operators and Quantifiers in Type-theory of A...
ISBN:
(纸本)9783031439766
the proceedings contain 13 papers. the special focus in this conference is on Logic and engineering of Natural Language Semantics. the topics include: Logic Operators and Quantifiers in Type-theory of Algorithms;slurs’ Variability, Emotional Dimensions, and Game-theoretic Pragmatics;measurement theory Meets Mereology in Multidimensionality in Resemblance Nominalism;events and Relative Clauses;the Semantic Markedness of the Japanese Negative Preterite: Non-existence of (Positive) Eventualities vs. Existence of Negative Eventualities;granularity in Number and Polarity Effects;contrafactives and Learnability: An Experiment with Propositional Constants;formalizing Argument Structures with Combinatory Categorial Grammar;a Proof-theoretic Analysis of the Meaning of a Formula in a Combination of Intuitionistic and Classical Propositional Logic;constraining Parse Ambiguity with Grammatical Codes;detecting Modality and Evidentiality: Against Purely Temporal-Aspectual Analyses of the German Semi-Modal Drohen.
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