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Large language models and deep learning models designed for code intelligence have revolutionized the software engineering field due to their ability to perform various code-related tasks. These models can process source code and software…

Software Engineering · Computer Science 2025-07-31 Ali Asgari , Milan de Koning , Pouria Derakhshanfar , Annibale Panichella

Genetic programming is an evolutionary approach known for its performance in program synthesis. However, it is not yet mature enough for a practical use in real-world software development, since usually many training cases are required to…

Software Engineering · Computer Science 2023-01-23 Dominik Sobania , Martin Briesch , Philipp Röchner , Franz Rothlauf

In recent years, advances in artificial intelligence (AI) have transformed structural biology, particularly protein structure prediction. Though AI-based methods, such as AlphaFold (AF), often predict single conformations of proteins with…

Biomolecules · Quantitative Biology 2024-10-22 Devlina Chakravarty , Myeongsang Lee , Lauren L. Porter

With the wide application of machine translation, the testing of Machine Translation Systems (MTSs) has attracted much attention. Recent works apply Metamorphic Testing (MT) to address the oracle problem in MTS testing. Existing MT methods…

Software Engineering · Computer Science 2024-07-23 Xiaoyuan Xie , Shuo Jin , Songqiang Chen , Shing-Chi Cheung

Motivation: Protein function prediction is a challenging task and an open problem in computational biology. The Critical Assessment of protein Function Annotation (CAFA) is a triennial, community-driven initiative that provides an…

Quantitative Methods · Quantitative Biology 2026-04-23 An Phan , Yanli Wang , Frimpong Boadu , Maxat Kulmanov , Robert Hoehndorf , Jianlin Cheng , Predrag Radivojac , Iddo Friedberg

Metamorphic testing is a testing method for problems without test oracles. Integration testing allows for detecting errors in complex systems that may not be found during the testing of their components. In this paper, we propose a novel…

Software Engineering · Computer Science 2023-05-02 Sofia F. Yakusheva , Anton S. Khritankov

A test oracle determines whether a system behaves correctly for a given input. Automatic testing techniques rely on an automated test oracle to test the system without user interaction. Important families of automated test oracles include…

Software Engineering · Computer Science 2022-10-21 Manuel Rigger , Zhendong Su

With the rapid growth of the applications of machine learning (ML) and other artificial intelligence (AI) techniques, adequate testing has become a necessity to ensure their quality. This paper identifies the characteristics of AI…

Software Engineering · Computer Science 2019-12-12 Hong Zhu , Dongmei Liu , Ian Bayley , Rachel Harrison , Fabio Cuzzolin

AlphaFold 3 (AF3), the latest version of protein structure prediction software, goes beyond its predecessors by predicting protein-protein complexes. It could revolutionize drug discovery and protein engineering, marking a major step…

Biomolecules · Quantitative Biology 2024-06-07 JunJie Wee , Guo-Wei Wei

Checking software application suitability using automated software tools has become a vital element for most organisations irrespective of whether they produce in-house software or simply customise off-the-shelf software applications for…

Software Engineering · Computer Science 2015-08-05 Rajesh Mathur , Scott Miles , Miao Du

Metamorphic testing (MT) has proven to be a successful solution to automating testing and addressing the oracle problem. However, it entails manually deriving metamorphic relations (MRs) and converting them into an executable form; these…

Software Engineering · Computer Science 2024-10-14 Seung Yeob Shin , Fabrizio Pastore , Domenico Bianculli , Alexandra Baicoianu

Augmented generation techniques such as Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG) have revolutionized the field by enhancing large language model (LLM) outputs with external knowledge and cached information.…

Software Engineering · Computer Science 2024-02-23 Guanyu Wang , Yuekang Li , Yi Liu , Gelei Deng , Tianlin Li , Guosheng Xu , Yang Liu , Haoyu Wang , Kailong Wang

Autoformalization addresses the scarcity of data for Automated Theorem Proving (ATP) by translating mathematical problems from natural language into formal statements. Efforts in recent work shift from directly prompting large language…

Artificial Intelligence · Computer Science 2025-10-09 Qi Guo , Jianing Wang , Jianfei Zhang , Deyang Kong , Xiangzhou Huang , Xiangyu Xi , Wei Wang , Jingang Wang , Xunliang Cai , Shikun Zhang , Wei Ye

Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations in technology for generating data and the inherently…

Quantitative Methods · Quantitative Biology 2016-12-07 Yuxiang Jiang , Tal Ronnen Oron , Wyatt T Clark , Asma R Bankapur , Daniel D'Andrea , Rosalba Lepore , Christopher S Funk , Indika Kahanda , Karin M Verspoor , Asa Ben-Hur , Emily Koo , Duncan Penfold-Brown , Dennis Shasha , Noah Youngs , Richard Bonneau , Alexandra Lin , Sayed ME Sahraeian , Pier Luigi Martelli , Giuseppe Profiti , Rita Casadio , Renzhi Cao , Zhaolong Zhong , Jianlin Cheng , Adrian Altenhoff , Nives Skunca , Christophe Dessimoz , Tunca Dogan , Kai Hakala , Suwisa Kaewphan , Farrokh Mehryary , Tapio Salakoski , Filip Ginter , Hai Fang , Ben Smithers , Matt Oates , Julian Gough , Petri Törönen , Patrik Koskinen , Liisa Holm , Ching-Tai Chen , Wen-Lian Hsu , Kevin Bryson , Domenico Cozzetto , Federico Minneci , David T Jones , Samuel Chapman , Dukka B K. C. , Ishita K Khan , Daisuke Kihara , Dan Ofer , Nadav Rappoport , Amos Stern , Elena Cibrian-Uhalte , Paul Denny , Rebecca E Foulger , Reija Hieta , Duncan Legge , Ruth C Lovering , Michele Magrane , Anna N Melidoni , Prudence Mutowo-Meullenet , Klemens Pichler , Aleksandra Shypitsyna , Biao Li , Pooya Zakeri , Sarah ElShal , Léon-Charles Tranchevent , Sayoni Das , Natalie L Dawson , David Lee , Jonathan G Lees , Ian Sillitoe , Prajwal Bhat , Tamás Nepusz , Alfonso E Romero , Rajkumar Sasidharan , Haixuan Yang , Alberto Paccanaro , Jesse Gillis , Adriana E Sedeño-Cortés , Paul Pavlidis , Shou Feng , Juan M Cejuela , Tatyana Goldberg , Tobias Hamp , Lothar Richter , Asaf Salamov , Toni Gabaldon , Marina Marcet-Houben , Fran Supek , Qingtian Gong , Wei Ning , Yuanpeng Zhou , Weidong Tian , Marco Falda , Paolo Fontana , Enrico Lavezzo , Stefano Toppo , Carlo Ferrari , Manuel Giollo , Damiano Piovesan , Silvio Tosatto , Angela del Pozo , José M Fernández , Paolo Maietta , Alfonso Valencia , Michael L Tress , Alfredo Benso , Stefano Di Carlo , Gianfranco Politano , Alessandro Savino , Hafeez Ur Rehman , Matteo Re , Marco Mesiti , Giorgio Valentini , Joachim W Bargsten , Aalt DJ van Dijk , Branislava Gemovic , Sanja Glisic , Vladmir Perovic , Veljko Veljkovic , Nevena Veljkovic , Danillo C Almeida-e-Silva , Ricardo ZN Vencio , Malvika Sharan , Jörg Vogel , Lakesh Kansakar , Shanshan Zhang , Slobodan Vucetic , Zheng Wang , Michael JE Sternberg , Mark N Wass , Rachael P Huntley , Maria J Martin , Claire O'Donovan , Peter N Robinson , Yves Moreau , Anna Tramontano , Patricia C Babbitt , Steven E Brenner , Michal Linial , Christine A Orengo , Burkhard Rost , Casey S Greene , Sean D Mooney , Iddo Friedberg , Predrag Radivojac

In medical image synthesis, the precision of localized structural details is crucial, particularly when addressing specific clinical requirements such as the identification and measurement of fine structures. Traditional methods for image…

Image and Video Processing · Electrical Eng. & Systems 2025-09-23 Arthur Longuefosse , Baudouin Denis de Senneville , Gael Dournes , Ilyes Benlala , Pascal Desbarats , Fabien Baldacci

As the laws have become more complicated and enormous, the role of software systems in navigating and understanding these intricacies has become more critical. Given their socio-economic and legally critical implications, ensuring software…

Software Engineering · Computer Science 2024-10-23 Saeid Tizpaz-Niari , Shiva Darian , Ashutosh Trivedi

Post-translational modifications (PTMs) have key roles in extending the functional diversity of proteins and as a result, regulating diverse cellular processes in prokaryotic and eukaryotic organisms. Phosphorylation modification is a vital…

Quantitative Methods · Quantitative Biology 2022-08-10 Farzaneh Esmaili , Mahdi Pourmirzaei , Shahin Ramazi , Seyedehsamaneh Shojaeilangari , Elham Yavari

Post-translational modifications (PTMs) have vital roles in extending the functional diversity of proteins and as a result, regulating diverse cellular processes in prokaryotic and eukaryotic organisms. Phosphorylation modification is a…

Quantitative Methods · Quantitative Biology 2022-02-08 Farzaneh Esmaili , Mahdi Pourmirzaei , Shahin Ramazi , Elham Yavari

Short product lifecycles and a high variety of products force industrial manufacturing processes to change frequently. Due to the manual approach of many quality analysis techniques, they can significantly slow down adaption processes of…

Computers and Society · Computer Science 2021-06-22 Kai Hoefig , Cornel Klein , Stefan Rothbauer , Marc Zeller , Marian Vorderer , Chee Hung Koo

Functional peptides have the potential to treat a variety of diseases. Their good therapeutic efficacy and low toxicity make them ideal therapeutic agents. Artificial intelligence-based computational strategies can help quickly identify new…

Quantitative Methods · Quantitative Biology 2023-09-27 Zebin Ma , Yonglin Zou , Xiaobin Huang , Wenjin Yan , Hao Xu , Jiexin Yang , Ying Zhang , Jinqi Huang