Classification of Software Defect Detected by Black-Box Testing: An Empirical Study

2010 ◽  
Author(s):  
Ning Li ◽  
Zhanhuai Li ◽  
Xiling Sun
Keyword(s):  
Empirical Study ◽  
Black Box ◽  
Software Defect ◽  
Black Box Testing

scholarly journals Aplikasi Pendeteksi Dini Penyakit Hepatitis Menggunakan Mesin Inferensi Forward Chaining Berbasis Android

2021 ◽  
Vol 1 (02) ◽  
pp. 1
Author(s):  
Bambang Agus Herlambang ◽  
Aditya Galih Prathama ◽  
Rahmat Robi Waliyansyah
Keyword(s):  
Hepatitis C ◽  
Hepatitis B ◽  
Early Detection ◽  
Hepatitis A ◽  
Black Box ◽  
Forward Chaining ◽  
Human Needs ◽  
The World ◽  
Black Box Testing

The development of the world of information technology or commonly known as IT is indeed extraordinary rapid that is in harmony with human needs one of which is helping medical staff to analyze the disease one of which is Hepatitis. Hepatitis is inflammation that occurs in the human liver and its types are Hepatitis A, Hepatitis B and Hepatitis C. Application is a program developed to carry out certain functions for certain users who aim to achieve certain goals. On this occasion the authors developed the Hepatitis Disease Early Detection Application Using an Android-Based Forward Chaining Inference Machine to display the classification of Hepatitis A, Hepatitis B or Hepatitis C. The results obtained in this study are the Early Detection Application of Hepatitis Using the Android-Based Forward Chaining Inference Machine successfully designed to provide support in the form of convenience for doctors regarding the description of hepatitis that is Hepatitis A, Hepatitis B and Hepatitis C and tested using Black Box testing with the results are feasible to use, the White Box test with the results of edges, nodes, predicate nodes and independent pathways is 22 and UAT testing with 92% results from 5 respondents.

Pengujian pada Aplikasi Penggajian Pegawai dengan menggunakan Metode Blackbox

2020 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Vadlan Febrian ◽  
Muhamad Rizki Ramadhan ◽  
Muhammad Faisal ◽  
Aries Saifudin
Keyword(s):  
Data Entry ◽  
Black Box ◽  
Application Form ◽  
Value Analysis ◽  
Test Function ◽  
Testing Method ◽  
Black Box Testing ◽  
Sample Testing ◽  
Testing Techniques ◽  
Program Error

In this employee payroll application, if there is an error program there will be a loss for employees and the company. Losses for employees, if this application program error occurs then the salary reduction will experience delays due to the difficulty in the process of calculating employee salaries and employees will be late in receiving salaries. Losses for the company, if there is an error program in this application, the company will suffer losses if the employee wants a salary reduction quickly but the company cannot calculate quickly and accurately. In solving this problem, the authors use the black box testing method. Black box testing method is a test that sees the results of execution through test data and ensures the function of the software. Black box testing method has several testing techniques, namely Sample Testing, Boundary Value Analysis, Equivalence Partitions and others. From the testing techniques that have been mentioned, we use the Equivalence Partitions testing technique. Equivalence Partitions are tests that refer to data entry on the employee payroll application form, input will be tested and then put together based on the test function, both valid and invalid values. The expected results of this test are a payroll system for employees who are computerized, have standard rules in the process of developing the program so that it is easy to develop and maintain, and can minimize errors in processing salary calculations for employees.

Pengujian Sistem Informasi Inventory Pada Perusahaan Distributor Farmasi Menggunakan Metode Black Box Testing

2018 ◽  
Vol 3 (2) ◽  
pp. 77-84
Author(s):  
Lila Setiyani
Keyword(s):  
Black Box ◽  
End User ◽  
Purchase Order ◽  
Black Box Testing ◽  
Unified Process

Pengelolaan dan pengontrolan produk sangat dibutuhkan oleh perusahaan yang bergerak di bidang distribusi farmasi, karena perusahaan distribusi farmasi membutuhkan perencanaan dan pengendalian persediaan dalam hal ini produk farmasi terkait dengan tanggal expired dan batch. Pada tahap analisis kebutuhan sistem terdapat beberapa prosedur yang terkait dengan inventory perusahaan distributor produk farmasi diantaranya adalah pengelolaan qoutation, sales order purchase order, penerimaan barang, retur barang, surat jalan, invoice, pembayaran, barang rusak dan pemusnahan barang. Sistem inventory untuk perusahaan distributor produk farmasi telah berhasil dibangun menggunakan metode Agile Unified Process dengan empat tahapan yaitu inception, elaboration, construction, dan transition. Pada tahapan transition dilakukan pengujian sistem inventory dengan menggunakan metode black box testing. Pengujian menggunakan black box testing ini bertujuan untuk mengetahui error yang terjadi ketika sistem digunakan oleh end user dengan pengujian data normal dan data tidak normal

scholarly journals Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xi Liu ◽  
Yongfeng Yin ◽  
Haifeng Li ◽  
Jiabin Chen ◽  
Chang Liu ◽  
...  
Keyword(s):  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Recall Rate ◽  
Defect Classification ◽  
Software Defects ◽  
Classification Approach ◽  
Software Defect ◽  
Model Combining ◽  
Dirichlet Allocation

AbstractExisting software intelligent defect classification approaches do not consider radar characters and prior statistics information. Thus, when applying these appaoraches into radar software testing and validation, the precision rate and recall rate of defect classification are poor and have effect on the reuse effectiveness of software defects. To solve this problem, a new intelligent defect classification approach based on the latent Dirichlet allocation (LDA) topic model is proposed for radar software in this paper. The proposed approach includes the defect text segmentation algorithm based on the dictionary of radar domain, the modified LDA model combining radar software requirement, and the top acquisition and classification approach of radar software defect based on the modified LDA model. The proposed approach is applied on the typical radar software defects to validate the effectiveness and applicability. The application results illustrate that the prediction precison rate and recall rate of the poposed approach are improved up to 15 ~ 20% compared with the other defect classification approaches. Thus, the proposed approach can be applied in the segmentation and classification of radar software defects effectively to improve the identifying adequacy of the defects in radar software.

Sistem Pendukung Keputusan untuk Menentukan Penerima Bantuan Beasiswa dengan Metode AHP dan TOPSIS

Sainteks ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 65
Author(s):  
Rima Dwi Mainingsih ◽  
Muhammad Hamka
Keyword(s):  
Analytical Hierarchy Process ◽  
Black Box ◽  
Ideal Solution ◽  
Order Preference ◽  
Black Box Testing ◽  
Hierarchy Process

Salah satu program LAZISMU Banyumas adalah beasiswa. Beasiswa merupakan pemberian bantuan keuangan yang diberikan kepada perorangan yang bertujuan untuk meningkatkan kapasitas SDM atau Sumber Daya Manusia melalui pendidikan. Permasalahan di LAZISMU, sistem bantuan beasiswa masih bersifat manual maka diperlukan suatu sistem pendukung keputusan (SPK) untuk memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu, mempercepat dan mempermudah proses pengambilan keputusan. Metode yang digunakan pada sistem pendukung keputusan adalah metode Analytical Hierarchy Process (AHP) dan metode TOPSIS. Analytical Hierarchy Process (AHP) yang digunakan untuk memperbaiki nilai bobot dari kriteria. Nilai bobot yang dihasilkan dari metode AHP selanjutnya digunakan untuk menentukan proses peranking calon penerima bantuan beasiswa menggunakan metode Technique For Order Preference By Similarity To Ideal Solution (TOPSIS). Metode AHP dan TOPSIS digunakan untuk meningkatkan hasil rekomendasi calon penerima bantuan beasiswa. Hasil klasifikasi kemudian dievaluasi menggunakan Black Box Testing untuk mengetahui apakah fungsi, masukan dan keluaran dari perangkat lunak sesuai dengan spesifikasi yang dibutuhkan. Dengan demikian dapat disimpulkan bahwa sistem aplikasi telah berjalan sesuai dengan tujuan yang diharapkan, karena tidak ditemukan adanya kesalahan pada interface serta sistem yang dirancang dan dibangun mampu mengatasi kelemahan-kelemahan yang terdapat pada sistem yang lama dan memberikan hasil rekomendasi calon penerima bantuan beasiswa.Kata-kata Kunci: sistem pendukung keputusan, penerima beasiswa, AHP, TOPSIS, black box testing

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