From Android Bug Reports to Android Bug Handling Process

2016 ◽  
Vol 7 (4) ◽  
pp. 1-18
Author(s):  
Liguo Yu
Keyword(s):  
Project Management ◽  
Open Source ◽  
Tracking System ◽  
Software Project ◽  
Bug Reports ◽  
Bug Report ◽  
Bug Tracking ◽  
Android Development ◽  
Comprehensive Study

Android is an operating system for mobile devices. Its development is led by Google and some other companies. Because of the open-source property of Android, anyone can report a bug through its online bug tracking system. In this paper, we analyze the bug reports of Android operating systems. Specifically, through this study, we would like to answer the following questions regarding Android development and its project management: (1) Could Android bug reports be handled on time? (2) What is the distribution of different maintenance activities initiated by Android bug reports? (3) How long does it take to handle an Android bug report? (4) Are the number of followers and the number of following messages of an Android bug report related to the effort spent on handling this bug report? Through answering these questions, this paper presents a comprehensive study of Android bug reporting and handling process. The information and knowledge obtained through this case study could help us better understand open-source software project, such as its development process and project management.

The Influence Ranking for Testers in Bug Tracking Systems

2019 ◽  
Vol 29 (01) ◽  
pp. 93-113 ◽  
Author(s):  
Hui Li ◽  
Guofeng Gao ◽  
Rong Chen ◽  
Xin Ge ◽  
Shikai Guo ◽  
...  
Keyword(s):  
Tracking System ◽  
Tracking Systems ◽  
Software Projects ◽  
Actual Performance ◽  
Bug Reports ◽  
Existence Time ◽  
Bug Report ◽  
Bug Tracking ◽  
Node Removal ◽  
Bug Fixes

At present, bug tracking systems are used to collect and manage bug reports in many software projects. As participants, the testers not only submit bug reports to the system, but also comment on bug reports in the system. The tester’s behaviors of submitting and commenting reflect his/her influence in bug tracking systems. However, with the rapid increase of the bug reports in software projects, evaluating the testers’ influence in the projects accurately becomes more and more difficult. Aiming at solving this problem, the submission and comment on bug report can be regarded as social behaviors of the testers, and thus the method of Influence Ranking for Testers (IRfT) in bug tracking systems is presented and used for measuring the influence of the testers in this paper. The case study of the Eclipse project in Bugzilla shows that the result produced by IRfT is consistent with the actual performance of the testers in this project. The ranking results can keep stable in the cases of link adding or removing and tester removing in tester networks, and the results are also proved to be valid in the future. The further investigation on the speed of network break-down by node removal demonstrates that the top-ranking testers are important in the organization of tester networks. Additionally, the results also show that the ranking of the testers is related to the existence time in bug tracking system. Therefore, IRfT is proved to be an effective measurement for evaluating the influence of the testers in bug tracking system, and it can further demonstrate the testers’ contributions in software testing, such as bug validations, bug fixes, etc.

Improving Software Project Management by Applying Agile Methodologies: A Case Study

2021 ◽  
pp. 672-685
Author(s):  
Antonio Quiña-Mera ◽  
Lincon Chamorro Andrade ◽  
Javier Montaluisa Yugla ◽  
Doris Chicaiza Angamarca ◽  
Cathy Pamela Guevara-Vega
Keyword(s):  
Project Management ◽  
Software Project ◽  
Software Project Management ◽  
Agile Methodologies

An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects

2012 ◽  
Vol 4 (2) ◽  
pp. 32-59 ◽  
Author(s):  
K. K. Chaturvedi ◽  
V.B. Singh
Keyword(s):  
Machine Learning ◽  
Tracking System ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Severity Level ◽  
Bug Reports ◽  
Learning Techniques ◽  
Bug Report ◽  
Closed Source ◽  
F Measure

Bug severity is the degree of impact that a defect has on the development or operation of a component or system, and can be classified into different levels based on their impact on the system. Identification of severity level can be useful for bug triager in allocating the bug to the concerned bug fixer. Various researchers have attempted text mining techniques in predicting the severity of bugs, detection of duplicate bug reports and assignment of bugs to suitable fixer for its fix. In this paper, an attempt has been made to compare the performance of different machine learning techniques namely Support vector machine (SVM), probability based Naïve Bayes (NB), Decision Tree based J48 (A Java implementation of C4.5), rule based Repeated Incremental Pruning to Produce Error Reduction (RIPPER) and Random Forests (RF) learners in predicting the severity level (1 to 5) of a reported bug by analyzing the summary or short description of the bug reports. The bug report data has been taken from NASA’s PITS (Projects and Issue Tracking System) datasets as closed source and components of Eclipse, Mozilla & GNOME datasets as open source projects. The analysis has been carried out in RapidMiner and STATISTICA data mining tools. The authors measured the performance of different machine learning techniques by considering (i) the value of accuracy and F-Measure for all severity level and (ii) number of best cases at different threshold level of accuracy and F-Measure.

Leveraging Big Data From Open Source to Improve Software Project Management

2018 ◽  
Vol 46 (1) ◽  
pp. 65-79 ◽  
Author(s):  
John Jagtiani ◽  
Christian Bach ◽  
Chris Huntley
Keyword(s):  
Big Data ◽  
Project Management ◽  
Open Source ◽  
Software Project ◽  
Software Project Management

A Method of Statistical Process Control for Successful Open Source Software Projects and Its Application to Determining the Development Period

2016 ◽  
Vol 23 (05) ◽  
pp. 1650018 ◽  
Author(s):  
Shigeru Yamada ◽  
Masakazu Yamaguchi
Keyword(s):  
Process Control ◽  
Open Source ◽  
Statistical Process Control ◽  
Open Source Software ◽  
Execution Time ◽  
Tracking System ◽  
Time Model ◽  
Statistical Process ◽  
Software Release ◽  
Bug Tracking

A software development paradigm for open source software (OSS) project has been rapidly spread in recent years. On the other hand, an effective method of quality management has not been established due to the unique development characteristics such as no testing phase. In this paper, we assume that the number of fault-detections observed on the bug tracking system tends to infinity, and discuss a method of statistical process control (SPC) for OSS projects by applying the logarithmic Poisson execution time model as a software reliability growth model (SRGM) based on a nonhomogeneous Poisson process (NHPP). Then, we propose a control chart method based on the logarithmic Poisson execution time model for judging the statical stability state, and estimating the additional development time for attaining the objective software failure intensity, i.e., the target value of the instantaneous fault-detection rate per unit time. We also discuss an optimal software release problem for determining the optimum time when to stop OSS development and to transfer it to user operation. Further, numerical illustrations for SPC are shown by applying the actual fault-count data observed on the bug tracking system.

scholarly journals Social Media Collaboration in Software Project Management

2019 ◽  
Author(s):  
Sania Imran ◽  
Faiqa Mehboob ◽  
Mehreen Sirshar
Keyword(s):  
Social Media ◽  
Project Management ◽  
Delphi Study ◽  
Cultural Context ◽  
Relationship Building ◽  
Software Project ◽  
Management Processes ◽  
Business Functions ◽  
The Impact

Social media has become part and parcel of the world of today. These days, it’s still the most talked about thing. It cannot be overlooked because it plays a key role in our business functions such as marketing and advertising. Social Media is all about collaboration on files, ideas and projects that help users and stakeholders to successfully complete the project. It influences how people communicate, develop relationship, build trust, increase transparency and provide cultural context. The fundamental aim of this research is to investigate the capacity for project management in social media. This paper explains how social media is used for project management knowledge areas and process groups. Also this research aims to identify SM tools that can be suitable for project management processes. Two studies Delphi Study of three rounds and structured case study interview are used to investigate the impact on the performance of the project team and process robustness. These studies support social media use by accessing the contribution to relationship building, trusts, coordination and cohesion.

scholarly journals Towards Social Capital in a Network Organization: A Conceptual Model and an Empirical Approach

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 519
Author(s):  
Saad Alqithami ◽  
Rahmat Budiarto ◽  
Musaad Alzahrani ◽  
Henry Hexmoor
Keyword(s):  
Social Capital ◽  
Open Source ◽  
Dynamic Network ◽  
Software Project ◽  
Multi Agent Systems ◽  
Organizational Network ◽  
Multi Agent ◽  
Term Objective

Due to the complexity of an open multi-agent system, agents’ interactions are instantiated spontaneously, resulting in beneficent collaborations with one another for mutual actions that are beyond one’s current capabilities. Repeated patterns of interactions shape a feature of their organizational structure when those agents self-organize themselves for a long-term objective. This paper, therefore, aims to provide an understanding of social capital in organizations that are open membership multi-agent systems with an emphasis in our formulation on the dynamic network of social interactions that, in part, elucidate evolving structures and impromptu topologies of networks. We model an open source project as an organizational network and provide definitions and formulations to correlate the proposed mechanism of social capital with the achievement of an organizational charter, for example, optimized productivity. To empirically evaluate our model, we conducted a case study of an open source software project to demonstrate how social capital can be created and measured within this type of organization. The results indicate that the values of social capital are positively proportional towards optimizing agents’ productivity into successful completion of the project.

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