Sökning: "bug prediction"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden bug prediction.

  1. 1. Visualizing bug-prone code via version control metadata

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Simon Gradin; [2023]
    Nyckelord :Development; Git; Metadata; visualization; treemap; treemaps; bugs; bug; bug prediction;

    Sammanfattning : Software being developed today can have years worth of history and hundreds if notthousands of files involved in a single project. When trying to determine what parts ofthe code need maintenance or updating it can be difficult to determine what will beproblematic in the future. LÄS MER

  3. 2. Bugs Prioritization in Software Engineering : A Systematic Literature Review on Techniques and Methods

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Nitin Pasikanti; Chadi Kawaf; [2022]
    Nyckelord :Bug; prioritization; software engineering; bug report; bug tracking system; systematic literature review; machine learning;

    Sammanfattning : Today’s world is a network of interconnected systems that are always running to facilitate information exchange so people can carry out their daily activities. Software applications are constantly evolving to meet the increasing expectations of the growing market, thereby giving rise to the development of large complex systems. LÄS MER

  4. 3. Bug Prediction with Machine Learning : Bloodhound 0.1

    Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Gustav Rehnholm; Felix Rysjö; [2021]
    Nyckelord :Bug prediction; Machine learning; Time series classification;

    Sammanfattning : Introduction   Bugs in software is a problem that grows over time if they are not dealt with in an early stage, therefore it is desirable to find bugs as early as possible. Bugs usually correlate with low software quality, which can be measured with different code metrics. LÄS MER

  5. 4. Automated Bug Classification. : Bug Report Routing

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Filosofiska fakulteten

    Författare :Sridhar Adhikarla; [2020]
    Nyckelord :;

    Sammanfattning : With the growing software technologies companies tend to develop automated solutions to save time and money. Automated solutions have seen tremendous growth in the software industry and have benefited from extensive machine learning research. LÄS MER

  7. 5. Categorizing Software Defects using Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för datavetenskap

    Författare :Viktor Stagge; [2018]
    Nyckelord :crash reports; software defects; text classification; hierarchical attention networks; machine learning; Technology and Engineering;

    Sammanfattning : We analyze how automatically generated crash reports can be used to aid in the process of software defect categorization. The crash reports are automatically generated logs, which vary widely in both format and in information content. Each crash report used is linked to its corresponding, human-written bug report. LÄS MER