Analisis Efektifitas Algoritma FAST Menggunakan Metrik Average Percentage Fault Detection dan Waktu Eksekusi Pada Test Case Prioritization

It uses regression testing to validate the modification results so as not cause new errors in features that are already functioning correctly. The implementation of is generally done by re-executing test suite used previous test. One crucial issues determining a strategic approach reuse existing suites. Testing with retesting all cases will result long and expensive Thus, it necessary use case selection approach. research study focuses on analyzing effectiveness FAST algorithm, namely FAST-pw FAST-all algorithms, for executing based priority. method experiments through running algorithms have been implanted faults software size 10,000 20,000 lines program. parameter execution time percentage fault detection using average (APFD) metric. showed had good values ​​when applied TCP small medium-sized SUTs, tested 1,000 – program lines.