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Serendipity-oriented recommender systems aim to counteract over-specialization in user preferences. However, evaluating a user's serendipitous response towards a recommended item can be challenging because of its emotional nature. In this…

Information Retrieval · Computer Science 2024-12-18 Yu Tokutake , Kazushi Okamoto

Recommender systems are a valuable tool for software engineers. For example, they can provide developers with a ranked list of files likely to contain a bug, or multiple auto-complete suggestions for a given method stub. However, the way…

Software Engineering · Computer Science 2022-08-02 Christoph Treude

Many software systems offer configuration options to tailor their functionality and non-functional properties (e.g., performance). Often, users are interested in the (performance-)optimal configuration, but struggle to find it, due to…

Software Engineering · Computer Science 2019-12-02 Alexander Grebhahn , Norbert Siegmund , Sven Apel

Software libraries play a critical role in the functionality, efficiency, and maintainability of software systems. As developers increasingly rely on Large Language Models (LLMs) to streamline their coding processes, the effectiveness of…

Software Engineering · Computer Science 2024-08-23 Jasmine Latendresse , SayedHassan Khatoonabadi , Ahmad Abdellatif , Emad Shihab

A major factor in the recent success of large language models is the use of enormous and ever-growing text datasets for unsupervised pre-training. However, naively training a model on all available data may not be optimal (or feasible), as…

One of the basic tasks which is responded for head of each university department, is employing lecturers based on some default factors such as experience, evidences, qualifies and etc. In this respect, to help the heads, some automatic…

Artificial Intelligence · Computer Science 2013-08-05 Shervan Fekri-Ershad , Hadi Tajalizadeh , Shahram Jafari

Recommender systems are one of the most successful applications of machine learning and data science. They are successful in a wide variety of application domains, including e-commerce, media streaming content, email marketing, and…

Information Retrieval · Computer Science 2023-04-04 Juan Pablo Equihua , Maged Ali , Henrik Nordmark , Berthold Lausen

A typical way in which a machine acquires knowledge from humans is by programming. Compared to learning from demonstrations or experiences, programmatic learning allows the machine to acquire a novel skill as soon as the program is written,…

Artificial Intelligence · Computer Science 2023-10-19 Leonardo Hernandez Cano , Yewen Pu , Robert D. Hawkins , Josh Tenenbaum , Armando Solar-Lezama

Software development projects involve the use of a wide range of tools to produce a software artifact. Software repositories such as source control systems have become a focus for emergent research because they are a source of rich…

Software Engineering · Computer Science 2016-04-20 Jacqui Finlay , Russel Pears , Andy M. Connor

These days, software development and security go hand in hand. Numerous techniques and strategies are discussed in the literature that can be applied to guarantee the incorporation of security into the software development process. In this…

Cryptography and Security · Computer Science 2024-03-29 Timo Langstrof , Alex R. Sabau

In this big data era, it is hard for the current generation to find the right data from the huge amount of data contained within online platforms. In such a situation, there is a need for an information filtering system that might help them…

Given the large number of publications in software engineering, frequent literature reviews are required to keep current on work in specific areas. One tedious work in literature reviews is to find relevant studies amongst thousands of…

Software Engineering · Computer Science 2022-04-11 Zhe Yu , Jeffrey C. Carver , Gregg Rothermel , Tim Menzies

Progressive filtering is a simple way to perform hierarchical classification, inspired by the behavior that most humans put into practice while attempting to categorize an item according to an underlying taxonomy. Each node of the taxonomy…

Artificial Intelligence · Computer Science 2016-11-04 Giuliano Armano

Software development increasingly depends on libraries and frameworks to increase productivity and reduce time-to-market. Despite this fact, we still lack techniques to assess developers expertise in widely popular libraries and frameworks.…

Software Engineering · Computer Science 2019-03-20 Joao Eduardo Montandon , Luciana Lourdes Silva , Marco Tulio Valente

Introduction of the Scrum approach into software engineering has changed the way software is being developed. The Scrum approach emphasizes the active end-user involvement, embracing of change, and /iterative delivery of products. Our study…

Software Engineering · Computer Science 2021-03-02 Peter Kokol. Sašo Zagoranski , Marko Kokol

Software quality assurance has been a heated topic for several decades. If factors that influence software quality can be identified, they may provide more insight for better software development management. More precise quality assurance…

Software Engineering · Computer Science 2015-07-27 Jie Xu , Danny Ho , Luiz Fernando Capretz

Context: User intent modeling is a crucial process in Natural Language Processing that aims to identify the underlying purpose behind a user's request, enabling personalized responses. With a vast array of approaches introduced in the…

Software intensively depends on external libraries whose relevance may change during its life cycle. As a consequence, software developers must periodically reconsider the libraries they depend on, and must think about \textit{library…

Software Engineering · Computer Science 2013-06-27 Cédric Teyton , Jean-Rémy Falleri , Marc Palyart , Xavier Blanc

Norms have been extensively proposed as coordination mechanisms for both agent and human societies. Nevertheless, choosing the norms to regulate a society is by no means straightforward. The reasons are twofold. First, the norms to choose…

Multiagent Systems · Computer Science 2017-04-04 Maite Lopez-Sanchez , Marc Serramia , Juan A. Rodriguez-Aguilar , Javier Morales , Michael Wooldridge

Background. Software Engineering (SE) researchers extensively perform experiments with human subjects. Well-defined samples are required to ensure external validity. Samples are selected \textit{purposely} or by \textit{convenience},…

Software Engineering · Computer Science 2021-08-30 Valentina Lenarduzzi , Oscar Dieste , Davide Fucci , Sira Vegas
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