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All Journal Journal of Applied Data Sciences Edumatica: Jurnal Pendidikan Matematika
Fang Wang
Southwest University for Nationalities
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics

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Software Defect Fault Intelligent Location and Identification Method Based on Data Mining Wang, Fang; Park, Sungho; Suwanasri, Cattareeya
Journal of Applied Data Sciences Vol 4, No 2: MAY 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i2.92

Abstract

With the advancement of the times, computer technology is also constantly improving, and people's requirements for software functions are also constantly improving, and as software functions become more and more complex, developers are technically limited and teamwork is not tacitly coordinated. And so on, so in the software development process, some errors and problems will inevitably lead to software defects. The purpose of this paper is to study the intelligent location and identification methods of software defects based on data mining. This article first studies the domestic and foreign software defect fault intelligent location technology, analyzes the shortcomings of traditional software defect detection and fault detection, then introduces data mining technology in detail, and finally conducts in-depth research on software defect prediction technology. Through in-depth research on several technologies, it reduces the accidents of software equipment and delays its service life. According to the experiments in this article, the software defect location proposed in this article uses two methods to compare. The first error set is used as a unit to measure the subsequent error set software error location cost. The first error set 1F contains 19 A manually injected error program, and the average positioning cost obtained is 3.75%.
Penelitian Praktis Model Blanded Learning Berbasis SPOC pada Matematika Tingkat Lanjut Wang, Fang; Du, Wen
Edumatica : Jurnal Pendidikan Matematika Vol 14 No 1 (2024): Edumatica: Jurnal Pendidikan Matematika (April 2024)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/edumatica.v14i01.33338

Abstract

Based on the current situation of advanced mathematics curriculum teaching, this study first constructs a blended learning model for advanced mathematics based on SPOC through literature research from three aspects: curriculum design, teaching implementation, and learning evaluation. And designs a specific blended teaching case combined with the "definite integral concept". Then, we conducted a purposeful sampling in a public school called Qinghai Normal University and selected 82 students from two first-year classes majoring in biotechnology as the research objects, and carried out an 18-week empirical study with experimental control. Finally, the final grades and teaching evaluation questionnaires of students in advanced mathematics were collected for data processing and analysis. The research results showed that students in the SPOC blended learning class had better math scores than those in the traditional teaching class, and blended learning could narrow the gap in students' math proficiency. At the same time, the questionnaire survey found that students believe that blended learning in advanced mathematics courses has abundant resources, frequent interaction and communication, and can improve learning efficiency. However, traditional advanced mathematics learning puts a lot of pressure, and they are busy taking notes in the classroom and cannot respond to the teacher's questions in time.
Co-Authors Du, Wen Park, Sungho Suwanasri, Cattareeya