Abstract
Software testing is a critical and time-consuming element of the software development life cycle (SDLC). Software testing determines the quality of a software before it is used by end users. The main goal is to find software errors or defects so that these errors or defects can be corrected in this testing phase. There are two general techniques for detecting software errors, namely: Black Box and White Box Testing. Black Box testing technique is used for validation, namely whether you have built the right software and White Box testing is used for verification, namely whether the software made is correct. This study aims to test the value index software using three methods of Black Box testing techniques, namely Equivalence partitioning (EP), Boundary Value Analysis (BVA) and Error Guessing. The testing process is carried out to find out how much error occurs in the value index software. The research method is qualitative descriptive and analytical. The results of this study indicate that the value index application has no shortcomings (error of 0%) both with BVA, EP and Error Guessing techniques.
Highlights
Software testing is a critical and time-consuming element of the software development life cycle (SDLC)
This study aims to test the value index software using three methods of Black Box testing techniques, namely Equivalence partitioning (EP), Boundary Value Analysis (BVA) and Error Guessing
The results of this study indicate that the value index application has no shortcomings (error of 0%) both with BVA, Equivalence Partitioning (EP) and Error Guessing techniques
Summary
Software testing is a critical and time-consuming element of the software development life cycle (SDLC). Pengujian black box dengan teknik atau metode Equivalence Partitioning dilakukan dengan mengambil beberapa test case yaitu pertama dengan diberikan uji masukan (input) nilai kurang dari 0 dan diperoleh hasil rata-rata dan grade tidak muncul seperti pada Gambar 7. Selanjutnya pengujian dengan mengambil test case uji input nilai di antara 0 dan 100 di mana diperoleh hasil rata-rata dan grade muncul seperti pada Gambar 8.
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