Pub Date : 2016-10-01DOI: 10.4018/IJOSSP.2016100101
Liguo Yu
{"title":"From Android Bug Reports to Android Bug Handling Process: An Empirical Study of Open-Source Development","authors":"Liguo Yu","doi":"10.4018/IJOSSP.2016100101","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016100101","url":null,"abstract":"","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"1 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83879588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Exploratory Study of Conflict over Paying Debian Developers","authors":"J. Gerlach, Chorng-Guang Wu, L. F. Cunningham, C. Young","doi":"10.4018/IJOSSP.2016070102","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016070102","url":null,"abstract":"Thisarticlereportsonanexploratorystudyofthecausesandeffectsofconflictwithintheopensource softwareproject,Debian.Conflictarosewhentheprojectleaderdecidedtointroducepaymentfor selectvolunteerswithinanall-volunteerprojecttospeedupthereleaseofDebian.Thestudyutilized thetheoreticalframeworkofBoltanskiandThévenotforunderstandingdisputes.Theresultsofthe surveyofDebiandevelopersshowthattheconditionsforconflictwerecomplexandweredrivenby perceptionofmisuseofauthority,ideology,feelingofinequity,andsatisfactionwithpayfortheir regularjob.Theeffectsoftheconflictwereshowntobepervasiveasitaffectedvolunteer’scitizenship behaviorsandwithdrawalfromtheproject.Additionally,theconflictledsomedeveloperstoreaffirm theirbeliefsaboutthevalueofpayingvolunteers.Theconclusionsofthestudyofferinsightintothe issuesofincentivizingvolunteerOSSdevelopers. KEywORDS Conflict, Debian, Equity, Ideology, Open Source Software, Project Governance","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"27 1","pages":"20-38"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73786082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quality in Use Analysis to Evaluate User Experience of Open Source Software Compatible with MATLAB","authors":"Manar AbuTalib","doi":"10.4018/IJOSSP.2016070101","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016070101","url":null,"abstract":"Mathematical and statistical open source software (OSS) has played a vital and positive role in computingstatistics,performingnumericalcomputations,andsolvingforrealandcomplexscalars. Thereisanenormousneedtoapplyqualitymodelstothistypeofsoftware.Inthispaper,wepresent aninclusivesetofcurrentqualitymodelsanddemonstratetheirapplicationtoOSS.Asverylittle researchhasbeencarriedoutonthequalityinuseassessmentofmathematicalsoftware,thiswork investigatestheapplicationofthequalityinusemodelinspiredbyISO/IEC25010onthreeOSS products:Scilab,R-Language,andGNUOctave.WecanconfidentlystatethatScilab,R-Language, andGNUOctaveperformsimilarlyintermsofeffectiveness,efficiency,productivity,andcognitive load.However,ScilaboutperformsGNUOctaveslightlywhenitcomestoerrorsafety. KEywORdS GNU Octave, ISO/IEC 25010, Open Source Software (OSS), Quality in Use Model, Quality Models, R-Language, Scilab, User Experience","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"47 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85689651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-01DOI: 10.4018/IJOSSP.2016040101
Ali Al Shidhani, Khalil Al Maawali, D. Al-Abri, H. Bourdoucen
Nowadays, the heavy reliance on computer networks necessitates minimizing outage time, increasing the availability of services, and preventing network related problems. Such realization requires continuous monitoring and observation. This is not a trivial task. Thus, automatic network monitoring tools are deployed to monitor and analyze the traffic trespassing network devices. There is an increasing demand for automated network monitoring tools and selecting a suitable candidate can become a challenging task. Some computerized network monitoring tools and systems are available, including expensive proprietary/closed-source solutions and Free Open Source Software FOSS systems. Three of the most popular FOSS network monitoring systems are: Nagios, OpenNMS and Zabbix. They are solid competitors to the available proprietary solutions. This paper evaluates the strengths and weaknesses of these tools. A qualitative and quantitative evaluation of the tools were conducted through monitoring real-time network traffic. The paper presents a thorough comparison between the tools. The comparison results are vital for network administrators wishing to adopt the studied monitoring tools.
{"title":"A Comparative Analysis of Open Source Network Monitoring Tools","authors":"Ali Al Shidhani, Khalil Al Maawali, D. Al-Abri, H. Bourdoucen","doi":"10.4018/IJOSSP.2016040101","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016040101","url":null,"abstract":"Nowadays, the heavy reliance on computer networks necessitates minimizing outage time, increasing the availability of services, and preventing network related problems. Such realization requires continuous monitoring and observation. This is not a trivial task. Thus, automatic network monitoring tools are deployed to monitor and analyze the traffic trespassing network devices. There is an increasing demand for automated network monitoring tools and selecting a suitable candidate can become a challenging task. Some computerized network monitoring tools and systems are available, including expensive proprietary/closed-source solutions and Free Open Source Software FOSS systems. Three of the most popular FOSS network monitoring systems are: Nagios, OpenNMS and Zabbix. They are solid competitors to the available proprietary solutions. This paper evaluates the strengths and weaknesses of these tools. A qualitative and quantitative evaluation of the tools were conducted through monitoring real-time network traffic. The paper presents a thorough comparison between the tools. The comparison results are vital for network administrators wishing to adopt the studied monitoring tools.","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"86 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81844201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-01DOI: 10.4018/IJOSSP.2016040103
Sangeeta Lal, Neetu Sardana, A. Sureka
Logging is an important yet tough decision for OSS developers. Machine-learning models are useful in improving several steps of OSS development, including logging. Several recent studies propose machine-learning models to predict logged code construct. The prediction performances of these models are limited due to the class-imbalance problem since the number of logged code constructs is small as compared to non-logged code constructs. No previous study analyzes the class-imbalance problem for logged code construct prediction. The authors first analyze the performances of J48, RF, and SVM classifiers for catch-blocks and if-blocks logged code constructs prediction on imbalanced datasets. Second, the authors propose LogIm, an ensemble and threshold-based machine-learning model. Third, the authors evaluate the performance of LogIm on three open-source projects. On average, LogIm model improves the performance of baseline classifiers, J48, RF, and SVM, by 7.38%, 9.24%, and 4.6% for catch-blocks, and 12.11%, 14.95%, and 19.13% for if-blocks logging prediction.
{"title":"Improving Logging Prediction on Imbalanced Datasets: A Case Study on Open Source Java Projects","authors":"Sangeeta Lal, Neetu Sardana, A. Sureka","doi":"10.4018/IJOSSP.2016040103","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016040103","url":null,"abstract":"Logging is an important yet tough decision for OSS developers. Machine-learning models are useful in improving several steps of OSS development, including logging. Several recent studies propose machine-learning models to predict logged code construct. The prediction performances of these models are limited due to the class-imbalance problem since the number of logged code constructs is small as compared to non-logged code constructs. No previous study analyzes the class-imbalance problem for logged code construct prediction. The authors first analyze the performances of J48, RF, and SVM classifiers for catch-blocks and if-blocks logged code constructs prediction on imbalanced datasets. Second, the authors propose LogIm, an ensemble and threshold-based machine-learning model. Third, the authors evaluate the performance of LogIm on three open-source projects. On average, LogIm model improves the performance of baseline classifiers, J48, RF, and SVM, by 7.38%, 9.24%, and 4.6% for catch-blocks, and 12.11%, 14.95%, and 19.13% for if-blocks logging prediction.","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"72 1","pages":"43-71"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80437069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-01DOI: 10.4018/IJOSSP.2016040102
Anjali Goyal, Neetu Sardana
Software bugs are inevitable and fixing these bugs is a difficult and time consuming task. Bug report assignment is the activity of designating a developer who makes source code changes in order to fix the bug. Many bug assignment techniques have been proposed in the existing studies. These studies use different datasets, varied input and evaluation parameters to validate their work. This diversification in bug triaging results in perplexity among researchers. Hence, this paper organizes the work performed in bug triaging in a structured manner. This paper aims to present current state of the art to provide a structured consolidation of bug triaging approaches. The paper has identified six research questions under five dimensions to address the various aspects of bug triaging. 60 articles from 36 venues have been reviewed and categorized in order to organize and substructure existing work in the field of bug report assignment. This study will help researchers to wisely decide the weapons for bug triaging. Also, it will act as a ready reference for the bug triaging practitioners.
{"title":"Analytical Study on Bug Triaging Practices","authors":"Anjali Goyal, Neetu Sardana","doi":"10.4018/IJOSSP.2016040102","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016040102","url":null,"abstract":"Software bugs are inevitable and fixing these bugs is a difficult and time consuming task. Bug report assignment is the activity of designating a developer who makes source code changes in order to fix the bug. Many bug assignment techniques have been proposed in the existing studies. These studies use different datasets, varied input and evaluation parameters to validate their work. This diversification in bug triaging results in perplexity among researchers. Hence, this paper organizes the work performed in bug triaging in a structured manner. This paper aims to present current state of the art to provide a structured consolidation of bug triaging approaches. The paper has identified six research questions under five dimensions to address the various aspects of bug triaging. 60 articles from 36 venues have been reviewed and categorized in order to organize and substructure existing work in the field of bug report assignment. This study will help researchers to wisely decide the weapons for bug triaging. Also, it will act as a ready reference for the bug triaging practitioners.","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"11 1","pages":"20-42"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80148349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-04-01DOI: 10.4018/IJOSSP.2016040104
Feras Hanandeh, Majdi Yousef Al-Shannag, Maha M. Alkhaffaf
{"title":"Using Data Mining Techniques with Open Source Software to Evaluate the Various Factors Affecting Academic Performance: A Case Study of Students in the Faculty of Information Technology","authors":"Feras Hanandeh, Majdi Yousef Al-Shannag, Maha M. Alkhaffaf","doi":"10.4018/IJOSSP.2016040104","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016040104","url":null,"abstract":"","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"32 1","pages":"72-92"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73324855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-01DOI: 10.4018/IJOSSP.2016010101
K. Chahal, Munish Saini
Due to the dominance of Open Source Software OSS in IT and the IT enabled services industry, various stakeholders are keen to understand the OSS evolution process. Several studies have been conducted in the past in this regard. There are various techniques used in the past for understanding OSS evolution process from different perspectives. This paper reports a systematic literature review on the topic in order to understand its current state and to identify opportunities for future. This research identified 190 studies, selected against a set of questions, for discussion. It categorizes the research studies into nine categories. We report the review results in a set of two papers. This paper discusses the research results of the techniques used for OSS evolution analysis only i.e. one out of the nine categories. A subsequent paper carries discussion on the remaining categories. Based on the results obtained from the systematic review, there is evidence of shift in the metrics and methods for OSS evolution analysis over the period of time. OSS systems were found to grow at a super linear rate in the initial studies. But later studies revealed that branches of an OSS system grow at different rates. However, more number of studies should be carried out using a repeatable methodology in order to obtain well-formed and generalizable results.
{"title":"Open Source Software Evolution: A Systematic Literature Review (Part 1)","authors":"K. Chahal, Munish Saini","doi":"10.4018/IJOSSP.2016010101","DOIUrl":"https://doi.org/10.4018/IJOSSP.2016010101","url":null,"abstract":"Due to the dominance of Open Source Software OSS in IT and the IT enabled services industry, various stakeholders are keen to understand the OSS evolution process. Several studies have been conducted in the past in this regard. There are various techniques used in the past for understanding OSS evolution process from different perspectives. This paper reports a systematic literature review on the topic in order to understand its current state and to identify opportunities for future. This research identified 190 studies, selected against a set of questions, for discussion. It categorizes the research studies into nine categories. We report the review results in a set of two papers. This paper discusses the research results of the techniques used for OSS evolution analysis only i.e. one out of the nine categories. A subsequent paper carries discussion on the remaining categories. Based on the results obtained from the systematic review, there is evidence of shift in the metrics and methods for OSS evolution analysis over the period of time. OSS systems were found to grow at a super linear rate in the initial studies. But later studies revealed that branches of an OSS system grow at different rates. However, more number of studies should be carried out using a repeatable methodology in order to obtain well-formed and generalizable results.","PeriodicalId":53605,"journal":{"name":"International Journal of Open Source Software and Processes","volume":"76 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76472324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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