Sökning: "java och xml"

Visar resultat 1 - 5 av 708 uppsatser innehållade orden java och xml.

1. 1. Assessing the Costs and Benefits of Proactively Adding Features in opensource system Bitcoin-Wallet: A Simulation study

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Ramzi Samir Masoud Abu Zahra; [2023-08-03]
   Nyckelord :Simulator; annotations; traceability;

   Sammanfattning : Objective: This paper builds on previous research and expands on the cost-benefit analysis of proactive feature annotation, with a focus on using Java to validate the findings from a real-world case study. Background: The significance of features within a system lies behind the need to locate them as they often necessitate identification for enhancement, and editing-related activities. LÄS MER

3. 2. Investigating the Accuracy of Metric-Based versus Machine Learning Approaches in Detecting Design Patterns

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Nils Dunlop; [2023-08-03]
   Nyckelord :Design Pattern Detection; Metrics; Thresholds; Machine Learning;

   Sammanfattning : Design pattern detection approaches have evolved, with machine-learning methods gaining prominence. However, implementing machine-learning models can be challenging due to extensive training requirements and the need for large labeled design pattern datasets. LÄS MER

4. 3. aiLangu - Real-time Transcription and Translation to Reduce Language Barriers : An Engineering Project to Develop an Application for Enhancing Human Verbal Communication

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

   Författare :Vincent Ringström1; Iley Alvarez Funcke; [2023]
   Nyckelord :Sound transcription; Sound translation; AI; Deep learning; Real-time; Language barrier; Concurrency; Ljud transkription; Ljud översättning; AI; Djupinlärning; Real-tid; Språkbarriär; Samtidighet;

   Sammanfattning : The research area this report relates to is real-time automatic transcription and translation. The purpose of the work done for the report is to reduce the perceived language barriers online and to make a user-friendly application to make use of the latest deep learning technology to transcribe and translate in real-time. LÄS MER

5. 4. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models

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

   Författare :Fernando Vallecillos Ruiz; [2023]
   Nyckelord :Automatic Program Repair; Software Engineering; Large Language Models; Round-Trip Translation; Neural Machine Translation; Automatisk programreparation; Mjukvaruutveckling; Stora språkmodeller; Tur och retur-översättning; Neural maskinöversättning;

   Sammanfattning : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. LÄS MER

7. 5. Java Auto Grader

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Shahm Abdulrazzak; Tor Mattsson; [2023]
   Nyckelord :Property-based Testing. JUnit Quick-Check. Automation. Auto grader. Test generator. Programming. Java.;

   Sammanfattning : The process of grading code submissions in programming courses is time-consuming and error-prone. To address this issue, we propose a project that automates the testing and grading process for Java code submissions at Halmstad University. LÄS MER