12 papers · ranked by Valyu relevance
Qihong Song, Haize Hu, Tebo Dai
Code search aims to search for code snippets from large codebase that are semantically related to natural query statements. Deep learning is a valuable method for solving code search tasks in which the quality of training data directly impacts the performance of deep-learning models. However, most existing…
Muhammad Hammad, Önder Babur, Hamid Abdul Basit, Mark van den Brand + 1 more
'Yilun Shang'] Software developers frequently reuse source code from repositories as it saves development time and effort. Code clones (similar code fragments) accumulated in these repositories represent often repeated functionalities and are candidates for reuse in an exploratory or rapid development. To facilitate…
Cristian Robledo, Francesca Sallicati, Gaël de Chalendar, Marcos Fernández + 4 more
'Marcos Fernández' 'Pablo de Castro' 'Eduardo Martín' 'Javier Gutiérrez' 'Yannis Bouachera'] This paper aims to introduce the innovative work carried out in the Horizon 2020 DECODER project - acronym for “DEveloper COmpanion for Documented and annotatEd code Reference” - (Grant Agreement no. 824231) by linking the…
Nazia Bibi, Tauseef Rana, Ayesha Maqbool, Farkhanda Afzal + 3 more
'Ali Akgül' 'Manuel De la Sen' 'Rebeca P. Díaz\xa0Redondo'] The development of robotic applications necessitates the availability of useful, adaptable, and accessible programming frameworks. Robotic, IoT, and sensor-based systems open up new possibilities for the development of innovative applications, taking advantage…
Amy M Russell, Louise Bryant, Allan House
Background People with learning disabilities (LD) have poor physical and mental health when compared with the general population. They are also likely to find it more difficult than others to describe their symptoms adequately. It is therefore harder for healthcare workers to identify the health needs of those with…
Anastasia Drozdova, Ekaterina Trofimova, Polina Guseva, Anna Scherbakova + 2 more
The use of program code as a data source is increasingly expanding among data scientists. The purpose of the usage varies from the semantic classification of code to the automatic generation of programs. However, the machine learning model application is somewhat limited without annotating the code snippets. To address…
Christian Lovis, Melissa Friesen, Carlos Lara, Hongchang Bao + 2 more
'Christopher J O Baker' 'Anil Adisesh'] Background In many research studies, the identification of social determinants is an important activity, in particular, information about occupations is frequently added to existing patient data. Such information is usually solicited during interviews with open-ended questions…
Brooke Ballantyne Scott, Susan Baer, Ashley Farrell, Pat Lee + 3 more
Although libraries have provided online-mediated search services for more than forty years , there is not yet a practice standard to guide execution of searches, train searchers, or evaluate search performance. “Mediated search services” describe the search services offered by libraries and professional librarians…
Nora Tu, Mackenzie Henderson, Meera Sundararajan, Maribel Salas
Background International Classification of Diseases, Ninth/Tenth revisions, clinical modification (ICD-9-CM, ICD-10-CM) are frequently used in the U.S. by health insurers and disease registries, and are often recorded in electronic medical records. Due to their widespread use, ICD-based codes are a valuable source of…
Jian Wang, Tao Lin, Rongsen Zhao, Huiling Zhao + 1 more
The deep natural language translation models have been used for automatic code error correction and have demonstrated outstanding potential. However, a large and accurately annotated training dataset is essential for these models to perform well. The key to improving the performance of these models lies in…
Hamoud Aljamaan, Muhammad Aleem
Code smells refer to poor design and implementation choices by software engineers that might affect the overall software quality. Code smells detection using machine learning models has become a popular area to build effective models that are capable of detecting different code smells in multiple programming languages.…
Francesca Del Bonifro, Maurizio Gabbrielli, Antonio Lategano, Stefano Zacchiroli + 1 more
'Stefano Zacchiroli' 'Sedat Akleylek'] Programming language identification (PLI) is a common need in automatic program comprehension as well as a prerequisite for deeper forms of code understanding. Image-based approaches to PLI have recently emerged and are appealing due to their applicability to code screenshots and…