• Title/Summary/Keyword: software change

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A Pragmatic Framework for Predicting Change Prone Files Using Machine Learning Techniques with Java-based Software

  • Loveleen Kaur;Ashutosh Mishra
    • Asia pacific journal of information systems
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    • 제30권3호
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    • pp.457-496
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    • 2020
  • This study aims to extensively analyze the performance of various Machine Learning (ML) techniques for predicting version to version change-proneness of source code Java files. 17 object-oriented metrics have been utilized in this work for predicting change-prone files using 31 ML techniques and the framework proposed has been implemented on various consecutive releases of two Java-based software projects available as plug-ins. 10-fold and inter-release validation methods have been employed to validate the models and statistical tests provide supplementary information regarding the reliability and significance of the results. The results of experiments conducted in this article indicate that the ML techniques perform differently under the different validation settings. The results also confirm the proficiency of the selected ML techniques in lieu of developing change-proneness prediction models which could aid the software engineers in the initial stages of software development for classifying change-prone Java files of a software, in turn aiding in the trend estimation of change-proneness over future versions.

A Dynamic Approach to Estimate Change Impact using Type of Change Propagation

  • Gupta, Chetna;Singh, Yogesh;Chauhan, Durg Singh
    • Journal of Information Processing Systems
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    • 제6권4호
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    • pp.597-608
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    • 2010
  • Software evolution is an ongoing process carried out with the aim of extending base applications either for adding new functionalities or for adapting software to changing environments. This brings about the need for estimating and determining the overall impact of changes to a software system. In the last few decades many such change/impact analysis techniques have been developed to identify consequences of making changes to software systems. In this paper we propose a new approach of estimating change/impact analysis by classifying change based on type of change classification e.g. (a) nature and (b) extent of change propagation. The impact set produced consists of two dimensions of information: (a) statements affected by change propagation and (b) percentage i.e. statements affected in each category and involving the overall system. We also propose an algorithm for classifying the type of change. To establish confidence in effectiveness and efficiency we illustrate this technique with the help of an example. Results of our analysis are promising towards achieving the aim of the proposed endeavor to enhance change classification. The proposed dynamic technique for estimating impact sets and their percentage of impact will help software maintainers in performing selective regression testing by analyzing impact sets regarding the nature of change and change dependency.

소프트웨어 프로덕트 라인에서 체계적인 요구사항 변경 관리 방법 (An Approach to Managing Requirements Change Systematically in Software Product Lines)

  • 박지현;문미경;염근혁
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제32권12호
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    • pp.1164-1177
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    • 2005
  • 현재 소프트웨어 개발 공정이 복잡해짐에 따라 개발하는 소프트웨어의 요구사항 역시 복잡해지고 있으며 요구사항 관리에 많은 노력이 소요되고 있다. 그러나 소프트웨어의 요구사항을 처음부터 모두 정의하는 것은 사실상 불가능하며, 개발이 진행되면서 환경은 변하기 마련이다. 또한 요구사항 변경은 개발보다 많은 비용이 소요되므로 체계적인 변경 관리를 통해 변경에 민첩하게 대응하고 관리되어야 한다. 본 논문에서는 소프트웨어 프로덕트 라인에서 요구사항 변경 관리 프로세스를 기반으로 체계적인 요구사항 변경 관리 방법을 제시한다. 소프트웨어 프로덕트 라인(software product lines)에서 어플리케이션의 요구사항은 도메인 요구사항과 밀접하게 관련되어 있으므로 어플리케이션 공학(application engineering) 단계에서 요구사항 변경이 발생했을 경우 도메인 공학(domain engineering) 단계를 이용하여 변경을 분석하고 관리하는 방법을 제시한다. 이러한 일관된 변경 관리를 통해 변경 범위를 분석하고, 변경 대처방안을 제시함으로써 변경 처리 결정을 내리는데 도움을 주며 한번 요청된 변경이 완벽하게 처리되도록 도와주어 같은 변경의 반복 요청을 막을 수 있기 때문에 잠재된 변경 비용을 절약할 수 있다.

The effect of switching costs on resistance to change in the use of software

  • Perera, Nipuna;Kim, Hee-Woong
    • 한국경영정보학회:학술대회논문집
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    • 한국경영정보학회 2007년도 International Conference
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    • pp.539-544
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    • 2007
  • People tend to resist changing their software even alternatives are better then the current one. This study examines the resistance to change in the use of software from the switching costs perspective based on status quo bias theory. For this study, we select Web Browsers as software. Based on the classification of switching costs into three groups (psychological, procedural, and loss), this study identifies six types of switching costs (uncertainty, commitment, learning, setup, lost performance, and sunk costs). This study tests the effects of six switching costs on user resistance to change based on the survey of 204 web browser users. The results indicate that lost performance costs and emotional costs have significant effects on user resistance to change. This research contributes towards understanding of switching costs and the effects on user resistance to change. This study also offers suggestions to software vendors for retaining their users and to organizations for managing user resistance in switching and adopting software.

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Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques

  • Malhotra, Ruchika;Jangra, Ravi
    • Journal of Information Processing Systems
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    • 제13권4호
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    • pp.778-804
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    • 2017
  • Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.

Requirement Analysis and Optimal Design of an Operational Change Detection Software

  • Lee, Young-Ran;Bang, Ki-In;Shin, Dong-Seok;Jeong, Soo;Kim, Kyung-Ok
    • 대한원격탐사학회지
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    • 제20권3호
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    • pp.189-196
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    • 2004
  • This paper describes what an operational change detection tool requires and the software which was designed and developed according to the requirements. The top requirement for the application of the software to operational change detection was identified: minimization of false detections, missing detections and operational cost. In order to meet such a requirement, the software was designed with the concept that the ultimate decision and isolation of changes must be performed manually by visual interpretation and all automatic algorithms and/or visualization techniques must be defined as support functions. In addition, the modular structure of the proposed software enables the addition of a new support function with the minimum development cost and minimum change of the operational environment.

철도시스템 소프트웨어 변경영향 분석을 위한 자동화 도구 개발 (Implementation of Automatic Tool for S/W Change Impact Analysis in Railway System)

  • 조현정;황종규;김용규
    • 전기학회논문지P
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    • 제58권2호
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    • pp.95-100
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    • 2009
  • Recent advances in computer technology have brought more dependence on software to railway systems. Hence, the safety assurance of the vital software running on the railway system is very critical task and yet, not many works have been done. While much efforts have been reported to improve electronic hardware's safety, not so much systematic approaches to evaluate software's safety. In this paper, we suggested an automated analysis tool for S/W change impact in railway system, and presented its result of implementation. The analysis items in the implemented tool had referred to the international standards in relation to the software for railway system, such as IEC 61508 and IEC 62279. In these international standards, 'change impact analysis' for railway system S/W has to be required mandatorily. The proposed tool can be utilized at the assessment stage and also the software development stage.

Unified Change Management(UCM)을 이용한 Embedded Software 개발 (Embedded Software Development using Unified Change Management)

  • 조현;김은영
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (1)
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    • pp.541-543
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    • 2001
  • Embedded System이 고도화, 지능화되어감에 따라 이를 구동하는 Embedded Software의 역할과 크기 그리고 복잡도 역시 증가하고 있어 주어진 개발 기간동안 안정되고 품질이 보장된 Embedded Software 개발을 위해서는 기존의 방법보다 간편하고 유연하며 개발 프로세스를 지원하는 새로운 변경 관리 기법과 병렬 환경구성이 방법이 필요하게 되었다. 이에 따라, 기존의 방법을 추상화하여 사용과 관리가 용이하며 프로세스 지원이 가능한 Unified Change Management(UCM)을 Embedded Software인 Handset Platform 개발에 적용하여 병렬 개발 환경 구축과 Change Control and Problem Tracking 측면에서 기존의 방법과 비교하여 그 효용성을 살펴보고자 한다.

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THE DEVELOPMENT OF CHANGE DETECTION SOFTWARE FOR PUBLIC SERVICES

  • Jeong, Soo;Lee, Sun-Gu;Kim, Youn-Soo;Kim, Yong-Seung
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.702-705
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    • 2006
  • Change detection is a core function of remote sensing. It can be widely used in public services such as land monitoring, damage assessment from disaster, analysis of city growth, etc. However, it seems that the change detection using satellite imagery has not been fully used in public services. For the person who is in charge of public services, it seems not to be ease to implement the change detection because various functions are combined into it. So, to promote the use of the change detection in public services, the standard, the process and the method for the change detection in public services should be established. And the software which supports that will be very useful. This study aims to promote the use of satellite imagery in public services by building up the change detection process which are suitable for general public services and developing the change detection software to support the process. The software has been developed using ETRI Components for Satellite Image Processing to support the interoperability with other GIS software.

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Design of the Scalable Naval Combat System Software using Abstraction and Design Pattern

  • Kwon, Ki-Tae;Kim, Ki-Pyo;Choi, HwanJun
    • 한국컴퓨터정보학회논문지
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    • 제24권7호
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    • pp.101-108
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    • 2019
  • In this paper, we propose a new scalable and reliable combat system software in battleship which was developed procedurally in the past. Recently, combat system software is required to change frequently due to addition of new equipment and change of function. To solve those problems, this paper propose how to change combat system software into scalable software using class structure change and design pattern. Simulation results show that our scheme provides better performances and reliability than conventional scheme. Therefore proposed scheme can be efficiently used in Naval combat system.