Results 61 to 70 of about 155,165 (287)

Seml: A Semantic LSTM Model for Software Defect Prediction

IEEE Access, 2019
Software defect prediction can assist developers in finding potential bugs and reducing maintenance cost. Traditional approaches usually utilize software metrics (Lines of Code, Cyclomatic Complexity, etc.) as features to build classifiers and identify ...
Hongliang Liang, Yue Yu, Lin Jiang, Zhuosi Xie   +3 more
doaj   +1 more source

Bellwethers: A Baseline Method For Transfer Learning

, 2018
Software analytics builds quality prediction models for software projects. Experience shows that (a) the more projects studied, the more varied are the conclusions; and (b) project managers lose faith in the results of software analytics if those results
Krishna, Rahul, Menzies, Tim
core   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Towards Automated Performance Bug Identification in Python

, 2016
Context: Software performance is a critical non-functional requirement, appearing in many fields such as mission critical applications, financial, and real time systems.
Mazzawi, Elie, Miranskyy, Andriy, Tsakiltsidis, Sokratis   +2 more
core   +1 more source

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

VoStackSDD: A Novel Ensemble Technique for Software Defect Density Prediction

Journal of Communications Software and Systems
Software defect density prediction is vital for improving software quality and reducing maintenance costs. Traditional models often fall short in predicting software defect density, whereas our approach focuses on enhancing software defect density ...
Jasmeet Kaur, Arvinder Kaur, Kamaldeep Kaur   +2 more
doaj   +1 more source

Software Defect Prediction Using Dagging Meta-Learner-Based Classifiers

Mathematics, 2023
To guarantee that software does not fail, software quality assurance (SQA) teams play a critical part in the software development procedure. As a result, prioritizing SQA activities is a crucial stage in SQA.
Akinbowale Nathaniel Babatunde, Roseline Oluwaseun Ogundokun, Latifat Bukola Adeoye, Sanjay Misra   +3 more
doaj   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Interpretable Software Defect Prediction from Project Effort and Static Code Metrics

Computers
Software defect prediction models enable test managers to predict defect-prone modules and assist with delivering quality products. A test manager would be willing to identify the attributes that can influence defect prediction and should be able to ...
Susmita Haldar, Luiz Fernando Capretz
doaj   +1 more source

Graph Neural Network Defect Prediction Method Combined with Developer Dependencies [PDF]

Jisuanji kexue
In the software development process,timely identification and handling of high-risk defect modules are crucial.Traditional software defect prediction methods primarily rely on code-related information but often overlook the impact of developers' personal
QIAO Yu, XU Tao, ZHANG Ya, WEN Fengpeng, LI Qiangwei
doaj   +1 more source