Sökning: "defect prediction"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden defect prediction.

  1. 1. Perception and implementation of Zero Defect Manufacturing approach in foundries

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Mohamed Saliji; [2022]
    Nyckelord :Zero-defect manufacturing; ZDM; Foundry quality; Metal casting quality; Automation in foundries.;

    Sammanfattning : Foundry is an industry that is both very old and very forward-looking. It is an essential base for several industrial sectors in today’s world. However, the metal casting industry faces a lot of challenges, including quality. LÄS MER

  3. 2. Defect intention : the specific challenges faced by women in open source that may predict (or influence) their intention to leave an open source software project/community

    Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Ivanna Altena; Georgi A. Markov; [2022]
    Nyckelord :Diversity; Equity; and Inclusion; Open source; Open source software; Women in Open Source; Defect intention; Intention to leave; Multiple regression.;

    Sammanfattning : Background Open source is largely accepted as an important innovation driver in the technology industry. Even though inclusion and diversity is beneficial for the success of technology projects (including open source software projects), many statistics are pointing out that diversity in open source is even worse than in the technology sector in general. LÄS MER

  4. 3. Life and fracture in very high cycle fatigue of a high strength steel

    Master-uppsats, Karlstads universitet/Institutionen för ingenjörsvetenskap och fysik (from 2013)

    Författare :Daniel Karlsson; [2021]
    Nyckelord :Very high cycle fatigue; VHCF; Fractography; Fine granular area; FGA; High strength tool steel; Ultrasonic testing equipment;

    Sammanfattning : Classical fatigue models teach that there is an intrinsic fatigue limit for steels, representing a level of stress that is too low for regular crack growth where every cyclic load propagates a fatigue crack through the material. Modern application with extreme lifetimes has shown that fatigue will still take place in steels with stress levels well below the expected fatigue limit. LÄS MER

  5. 4. Evaluation of Attention Mechanisms for Just-In-Time Software Defect Prediction

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Abgeiba Yaroslava Isunza Navarro; [2020]
    Nyckelord :Just-in-Time Software Defect Prediction; Attention Mechanism; Convolutional Neural Network; Feature Extraction; Just-in-Time Software Defect Prediction; Attention Mechanism; Convolutional Neural Network; Feature Extraction;

    Sammanfattning : Just-In-Time Software Defect Prediction (JIT-DP) focuses on predicting errors in software at change-level with the objective of helping developers identify defects while the development process is still ongoing, and improving the quality of software applications. This work studies deep learning techniques by applying attention mechanisms that have been successful in, among others, Natural Language Processing (NLP) tasks. LÄS MER

  7. 5. Introducing automatic software fault localization in a continuous integration environment

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johannes Wirkkala Westlund; [2020]
    Nyckelord :;

    Sammanfattning : In this thesis we investigate the usefulness of neural networks to infer the relationship between co-changes of software modules and test verdicts with the goal of localizing software faults. Data for this purpose was collected from a continuous integration (CI) environment at the telecommunications company Ericsson. LÄS MER