Sökning: "normalized compression distance"
Hittade 4 uppsatser innehållade orden normalized compression distance.
1. Evaluating the Trade-offs of Diversity-Based Test Prioritization: An Experiment
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Different test prioritization techniques detect faults at earlier stages of test execution. To this end, Diversity-based techniques (DBT) have been cost-effective by prioritizing the most dissimilar test cases to maintain effectiveness and coverage with lower resources at different stages of the software development life cycle, called levels of testing (LoT). LÄS MER
2. Evaluation of Idempotency & Block Size of Data on the Performance of Normalized Compression Distance Algorithm
Master-uppsats, Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationSammanfattning : Normalized compression distance (NCD) is a similarity distance metric algorithm which is used for the purpose of analyzing the type of file fragments. The performance of NCD depends upon underlying compression algorithm to be used. LÄS MER
3. Validation of Machine Learning and Visualization based Static Code Analysis Technique
Master-uppsats, Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationSammanfattning : Software security has always been an afterthought in software development which results into insecure software. Companies rely on penetration testing for detecting security vulnerabilities in their software. However, incorporating security at early stage of development reduces cost and overhead. LÄS MER
4. Information Visualization and Machine Learning Applied on Static Code Analysis
Master-uppsats, Blekinge Tekniska Högskola/Avdelningen för programvarusystemSammanfattning : Software engineers will possibly never see the perfect source code in their lifetime, but they are seeing much better analysis tools for finding defects in software. The approaches used in static code analysis emerged from simple code crawling to usage of statistical and probabilistic frameworks. LÄS MER