Sökning: "bug fix"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden bug fix.

  1. 1. Token Budget Minimisation of Large Language Model based Program Repair

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

    Författare :Dávid Hidvégi; [2023]
    Nyckelord :Automated Program Repair; Conversational; Prompt Engineering; Automatiserad programreparation; Konversationell; Prompt-utformning;

    Sammanfattning : Automated Program Repair (APR) is gaining popularity in the field of software engineering. APR reduces the time and effort needed to find and fix software bugs, with a goal of completely automating bug fixing without any human input. LÄS MER

  3. 2. A case study of the lead time between eliciting and implementing the requirements in mobile game apps

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Guanqun Liu; Qianwen Liu; [2022]
    Nyckelord :lead time; mobile game apps; user reviews; user requirements;

    Sammanfattning : Context. There has been a remarkable growth of the mobile game industry since the raging pandemic covid-19 destroyed many businesses across several industries [1]. Nowadays mobile gaming has been one of the highest performing industries globally, raking in more billions in revenue [1,2]. LÄS MER

  4. 3. Evaluating template-based automatic program repair in industry

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

    Författare :Gunnar Applelid; [2021]
    Nyckelord :;

    Sammanfattning : Automatic Program Repair (APR) is a field that has gained much attention in recent years. The idea of automatically fixing bugs could save time and money for companies. Template Based Automatic Program Repair is an area within APR that uses fix templates for generating patches and a test suite for evaluating them. 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. Sequence to Sequence Machine Learning for Automatic Program Repair

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

    Författare :Niclas Svensson; Damir Vrabac; [2019]
    Nyckelord :Automatic program repair; neural machine translation; sequence to sequence; bug fix;

    Sammanfattning : Most of previous program repair approaches are only able to generate fixes for one-line bugs, including machine learning based approaches. This work aims to reveal whether such a system with the state of the art technique is able to make useful predictions while being fed by whole source files. LÄS MER