Sökning: "software code metrics"

Visar resultat 1 - 5 av 87 uppsatser innehållade orden software code metrics.

  1. 1. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Miljö- och energisystem

    Författare :Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
    Nyckelord :Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

    Sammanfattning : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. LÄS MER

  3. 2. Meaningful Metrics in Software Engineering : The Value and Risks of Using Repository Metrics in a Company

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Frida Jacobsson; [2023]
    Nyckelord :Repository metrics; measurements in software development; ethics in software engineering; performance monitoring; GDPR; Git;

    Sammanfattning : Many large companies use various business intelligence solutions to filter, process, and visualize their software source code repository data. These tools focus on improving continuous integration and are used to get insights about people, products, and projects in the organization. LÄS MER

  4. 3. Can Developer Data Predict Vulnerabilities? : Examining Developer and Vulnerability Correlation in the Kibana Project

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

    Författare :Johan Lövgren; [2023]
    Nyckelord :Open-Source; Vulnerability Identification; High-Risk Developers; Öppen Källkod; Identifiering av Sårbarheter; Högriskutvecklare;

    Sammanfattning : Open-source software is often chosen with the expectation of increased security [1]. The transparency and peer review process of open development offer advantages in terms of more secure code. However, developing secure code remains a challenging task that requires more than just expertise. LÄS MER

  5. 4. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI

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

    Författare :Aanchal Upreti; [2023]
    Nyckelord :Software Engineering;

    Sammanfattning : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. LÄS MER

  7. 5. On the notions and predictability of Technical Debt

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

    Författare :Varun Dalal; [2023]
    Nyckelord :technincal debt; predictibility; quality assurance; static code analysis tools;

    Sammanfattning : Technical debt (TD) is a by-product of short-term optimisation that results in long-term disadvantages. Because every system gets more complicated while it is evolving, technical debt can emerge naturally. LÄS MER