Results 21 to 30 of about 1,163 (133)
Classifying Web Exploits with Topic Modeling
, 2017 This short empirical paper investigates how well topic modeling and database meta-data characteristics can classify web and other proof-of-concept (PoC) exploits for publicly disclosed software vulnerabilities.
Ruohonen, Jukka
core +1 more source
FixMiner: Mining Relevant Fix Patterns for Automated Program Repair [PDF]
, 2019 Patching is a common activity in software development. It is generally performed on a source code base to address bugs or add new functionalities. In this context, given the recurrence of bugs across projects, the associated similar patches can be ...
Bissyandé, Tegawendé F. +6 more
core +2 more sources
SevPredict: Exploring the Potential of Large Language Models in Software Maintenance
AIThe prioritization of bug reports based on severity is a crucial aspect of bug triaging, enabling a focus on more critical issues. Traditional methods for assessing bug severity range from manual inspection to the application of machine and deep learning
Muhammad Ali Arshad +3 more
doaj +1 more source
Fuzzy set and cache-based approach for bug triaging [PDF]
, 2011 Software bugs are inevitable and bug fixing is an essential and costly phase during software development. Such defects are often reported in bug reports which are stored in an issue tracking system, or bug repository.
Tamrawi, Ahmed
core +3 more sources
Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
, 2016 We propose and explore a new paradigm called Code Drones in which every software artifact such as a class is an intelligent and socially active entity. In this paradigm, humanized artifacts take the lead and choreograph (socially, in collaboration with ...
Acharya, Mithun P. +4 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Data-Driven Application Maintenance: Views from the Trenches
, 2018 In this paper we present our experience during design, development, and pilot deployments of a data-driven machine learning based application maintenance solution.
Misra, Janardan +4 more
core +1 more source
A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection
Advanced Science, EarlyView.A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang +8 more
wiley +1 more source
Overcoming Language Dichotomies: Toward Effective Program Comprehension for Mobile App Development
, 2018 Mobile devices and platforms have become an established target for modern software developers due to performant hardware and a large and growing user base numbering in the billions.
Bavota G. +10 more
core +1 more source