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A Study of Quantitative Progress Evaluation Models for Open Source Projects

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Journal of Software Engineering and Applications 2022年第5期15卷 183-196页

作者： Hironobu Sone yoshinobu tamura Shigeru Yamada Graduate School of Sciences and Technology for Innovation Yamaguchi University Yamaguchi Japan Graduate School of Engineering Tottori University Tottori Japan

Open source software (OSS) has become an indispensable part of society, not only for personal use but also for corporate use. Projects developed and operated by OSS are called open source projects, and the number of such projects is increasing. On the other hand, because anyone can participate in an open source project, the progress of the project is uncertain due to differences in project members’ skills, development environments, and time zones of activity. Therefore, many users and companies need to understand the development and operation status of open source project. Then, the developers carefully make decisions on upgrading or installing new OSS. In this paper, we focus on the maintenance effort estimation for open source projects considering uncertainty. Also, we evaluate the project quantitatively using Earned Value Management (EVM). Moreover, we examine the appropriateness of the model for predicting the maintenance effort expeditures. Furthermore, we discuss the appropriateness of this EVM method.

关键词： Open Source Software Stochastic Differential Equation Earned Value Management Software Reliability Growth Model

A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model

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American Journal of Operations Research 2022年第1期12卷 1-10页

作者： Taku Yanagisawa yoshinobu tamura Adarsh Anand Shigeru Yamada Tokyo City University Tokyo Japan Yamaguchi University Yamaguchi Japan University of Delhi Delhi India Tottori University Tottori Japan

The software reliability model is the stochastic model to measure the software reliability quantitatively. A Hazard-Rate Model is the well-known one as the typical software reliability model. We propose Hazard-Rate Models Considering Fault Severity Levels (CFSL) for Open Source Software (OSS). The purpose of this research is to make the Hazard-Rate Model considering CFSL adapt to baseline hazard function and 2 kinds of faults data in Bug Tracking System (BTS), i.e., we use the covariate vectors in Cox proportional Hazard-Rate Model. Also, we show the numerical examples by evaluating the performance of our proposed model. As the result, we compare the performance of our model with the Hazard-Rate Model CFSL.

关键词： Open Source Software Fault Data Software Reliability Cox Proportional Hazard-Rate Model

OSS Project Assessment Based on Discriminant Analysis and Jump Diffusion Process Model for Fault Big Data

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American Journal of Operations Research 2020年第6期10卷 269-283页

作者： yoshinobu tamura Hayato Watanabe Shigeru Yamada Tokyo City University Tokyo Japan Tottori University Tottori Japan

The bug tracking system is well known as the project support tool of open source software. There are many categorical data sets recorded on the bug tracking system. In the past, many reliability assessment methods have been proposed in the research area of software reliability. Also, there are several software project analyses based on the software effort data such as the earned value management. In particular, the software reliability growth models can apply to the system testing phase of software development. On the other hand, the software effort analysis can apply to all development phase, because the fault data is only recorded on the testing phase. We focus on the big fault data and effort data of open source software. Then, it is difficult to assess by using the typical statistical assessment method, because the data recorded on the bug tracking system is large scale. Also, we discuss the jump diffusion process model based on the estimation method of jump parameters by using the discriminant analysis. Moreover, we analyze actual big fault data to show numerical examples of software effort assessment considering many categorical data set.

关键词： Open Source Software Big Fault Data Discriminant Analysis Open Source Project

OSS Effort Expense Optimization Based on Wiener Process Model and GA

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Journal of Software Engineering and Applications 2021年第1期14卷 11-25页

作者： Kodai Sugisaki yoshinobu tamura Shigeru Yamada Tokyo City University Tokyo Japan Tottori University Tottori Japan

Various open source software are managed by using several bug tracking systems. In particular, the open source software extends to the cloud service and edge computing. Recently, OSF Edge Computing Group is launched by OpenStack. There are big data behind the internet services such as cloud and edge computing. Then, it is important to consider the impact of big data in order to assess the reliability of open source software. Various optimal software release problems have been proposed by specific researchers. In the typical optimal software release problems, the cost parameters are defined as the known parameter. However, it is difficult to decide the cost parameter because of the uncertainty. The purpose of our research is to estimate the effort parameters included in our models. In this paper, we propose an estimation method of effort parameter by using the genetic algorithm. Then, we show the estimation method in section 3. Moreover, we analyze actual data to show numerical examples for the estimation method of effort parameter. As the research results, we found that the OSS managers would be able to comprehend the human resources required before the OSS project in advance by using our method.

关键词： Fault Big Data Cost Optimization Reliability Analysis Wiener Process Model Open Source Project

Component-Oriented Reliability Analysis Based on Hierarchical Bayesian Model for an Open Source Software

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American Journal of Operations Research 2011年第2期1卷 25-32页

作者： yoshinobu tamura Hidemitsu Takehara Shigeru Yamada Graduate School of Science and Engineering Yamaguchi University Ube Japan

The successful experience of adopting distributed development models in such open source projects includes GNU/Linux operating system, Apache HTTP server, Android, BusyBox, and so on. The open source project contains special features so-called software composition by which several geographically-dispersed compo-nents are developed in all parts of the world. We propose a method of component-oriented reliability as-sessment based on hierarchical Bayesian model and Markov chain Monte Carlo methods. Especially, we fo-cus on the fault-detection rate for each component reported to the bug tracking system. We can assess the reliability for the whole open source software system by using the confidence interval for each component. Also, we analyze actual software fault-count data to show numerical examples of reliability assessment for OSS.

关键词： Open Source Software Reliability Bayesian Model Markov Chain Monte Carlo Method

Comparison of Hazard-Rates Considering Fault Severity Levels and Imperfect Debugging for OSS

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Journal of Software Engineering and Applications 2021年第11期14卷 591-606页

Software reliability model is the tool to measure the software reliability quantitatively. Hazard-Rate model is one of the most popular ones. The purpose of our research is to propose the hazard-rate model considering fault level for Open Source Software (OSS). Moreover, we aim to adapt our proposed model to the hazard-rate considering the imperfect debugging environment. We have analyzed the trend of fault severity level by using fault data in Bug Tracking System (BTS) and proposed our model based on the result of analysis. Also, we have shown the numerical example for evaluating the performance of our proposed model. Furthermore, we have extended our proposed model to the hazard-rate considering the imperfect debugging environment and showed numerical example for evaluating the possibility of application. As the result, we found out that performance of our proposed model is better than typical hazard-rate models. Also, we verified the possibility of application of proposed model to hazard-rate model considering imperfect debugging.

关键词： Open Source Software Bug Tracking System Software Reliability Hazard-Rate Model Imperfect Debugging

Computer-Assisted Orthopaedic Surgery With Intraoperative Simulation and Quantification

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Computer-Assisted Orthopaedic Surgery With Intraoperative Si...

2-D/3-D registration for Kinematics analysis of Total Knee Arthroplasty

The 6th International Conference on Biomedical Engineering and Rehabilitation Engineering

作者： yoshinobu Sato Nobuhiko Sugano Toshihiko Sasama Yoshikazu Nakajima Takahiro Ochi Shinich tamura Division of Interdisciplinary Image Analysis Department of Orthopaedic Surgery Division of Interdisciplinary Image Analysis Division of Interdisciplinary Image Analysis Division of Computer-Integrated Orthopaedic Surgery Osaka University Graduate School of Medicine Division of Interdisciplinary Image Analysis

＜正＞ This paper presents an outline of our recent efforts on the development and clinicalevaluations of preoperative planning and intraoperative navigation systems for total hip

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2-D/3-D registration for Kinematics analysis of Total Knee A...