Results 91 to 100 of about 4,787,648 (245)

Software Measurement and Defect Prediction with Depress Extensible Framework

Foundations of Computing and Decision Sciences, 2014
Context. Software data collection precedes analysis which, in turn, requires data science related skills. Software defect prediction is hardly used in industrial projects as a quality assurance and cost reduction mean. Objectives.
Madeyski Lech, Majchrzak Marek
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Performance of Defect Prediction in Rapidly Evolving Software

, 2015
Defect prediction techniques allow spotting modules (or commits) likely to contain (introduce) a defect by training models with product or process metrics – thus supporting testing, code integration, and release decisions. When applied to processes where
Davide Giacomo Cavezza, PIETRANTUONO, ROBERTO, Roberto Pietrantuono, RUSSO, STEFANO, CAVEZZA, DAVIDE GIACOMO, Stefano Russo   +5 more
core   +1 more source

Software Quality Prediction Models Compared

, 2010
Numerous empirical studies confirm that many software metrics aggregated in software quality prediction models are valid predictors for qualities of general interest like maintainability and correctness.
Gutzmann, Tobias,, Lincke, Rüdiger,, Löwe, Welf,   +2 more
core   +5 more sources

Naive Bayes Classification for Software Defect Prediction

Transactions on Informatics and Data Science
Software defects are an inevitable aspect of software development, exerting substantial influence on the reliability and performance of software applications.
Edwin Hari Agus Prastyo, Muhammad Ainul Yaqin, Suhartono, M. Faisal, Reza Augusta Jannatul Firdaus   +4 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

DEFECT SEVERITY CODE PREDICTION BASED ON ENSEMBLE LEARNING

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
In machine learning, learning algorithms that learn from other algorithms are called meta-learning. New algorithms called Ensemble algorithms have surfaced as a viable method to improve defect prediction models' accuracy and dependability.
Ghada Mohammad Tahir Aldabbagh, Safwan Omar Hasoon   +1 more
doaj   +1 more source

Software defect prediction using learning to rank approach. [PDF]

Sci Rep, 2023
Nassif AB, Talib MA, Azzeh M, Alzaabi S, Khanfar R, Kharsa R, Angelis L.   +6 more
europepmc   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Just-In-Time Software Defect Prediction using a deep learning-based model

New Trends in Computer Sciences
The increase in software complexity, driven by technological developments and user demands, has created major challenges for companies in Software Quality Assurance.
Rodrigo Alexandre Dos Santos
doaj   +1 more source