Results 51 to 60 of about 131,766 (331)
Entropy Churn Metrics for Fault Prediction in Software Systems
Entropy, 2018 Fault prediction is an important research area that aids software development and the maintenance process. It is a field that has been continuously improving its approaches in order to reduce the fault resolution time and effort.
Arvinder Kaur, Deepti Chopra
doaj +1 more source
Software mining and fault prediction
WIREs Data Mining and Knowledge Discovery, 2012 AbstractMining software repositories (MSRs) such as source control repositories, bug repositories, deployment logs, and code repositories provide useful patterns for practitioners. Instead of using these repositories as record‐keeping ones, we need to transform them into active repositories that can guide the decision processes inside the company.
openaire +2 more sources
Investigating Automatic Static Analysis Results to Identify Quality Problems: an Inductive Study [PDF]
, 2012 Background: Automatic static analysis (ASA) tools examine source code to discover "issues", i.e. code patterns that are symptoms of bad programming practices and that can lead to defective behavior.
Seaman, C. +4 more
core +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Analysis method of software failure modes in command information system based on complex networks [PDF]
Zhihui kongzhi yu fangzhenThe command information system software forms a network through sophisticated interactions, where a single software failure can widely propagate within the network and cause severe consequences.
WANG Bo, JIANG Xuping, JING Huiqian
doaj +1 more source
An Empirical analysis of Open Source Software Defects data through Software Reliability Growth Models [PDF]
, 2013 The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) using Software Reliability Growth Models (SRGM). This study uses defects data of twenty five different releases of five OSS projects.
Morisio, Maurizio, Ullah, Najeeb
core +1 more source
FEBS Letters, EarlyView.In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley +1 more source
FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
Applied Sciences, 2021 Many NHPP software reliability growth models (SRGMs) have been proposed to assess software reliability during the past 40 years, but most of them have focused on modeling the fault detection process (FDP) in two ways: one is to ignore the fault ...
Qiuying Li, Hoang Pham
doaj +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source