检索结果-内蒙古大学图书馆

Systematic Review of Machine Learning-Based Open-Source software Maintenance Effort Estimation

Recent Advances in Computer Science and Communications 2023年第3期16卷 27-51页

作者： Miloudi, Chaymae Cheikhi, Laila Abran, Alain Software Project Management Team ENSIAS Mohammed V. University in Rabat Rabat Morocco Department of Software Engineering & Information Technology École de Technologie Supérieure Montréal Canada

Background: software maintenance is known as a laborious activity in the software lifecycle and is often considered more expensive than other activities. Open-Source software (OSS) has gained considerable acceptance in the industry recently, and the Maintenance Effort Estimation (MEE) of such software has emerged as an important research topic. In this context, researchers have conducted a number of open-source software maintenance effort estimation (O-MEE) studies based on statistical as well as machine learning techniques for better estimation. Objective: The objective of this study is to perform a systematic literature review (SLR) to analyze and summarize the empirical evidence of O-MEE ML techniques in current research through a set of five Research Questions (RQs) related to several criteria (e.g. data pre-processing tasks, data mining tasks, tuning parameter methods, accuracy criteria and statistical tests, as well as ML techniques reported in the literature that outperformed). Methods: We performed a systematic literature review of 36 primary empirical studies published from 2000 to June 2020, selected based on an automated search of six digital databases. Results: The findings show that Bayesian networks, decision tree, support vector machines and instance-based reasoning were the ML techniques most used;few studies opted for ensemble or hybrid techniques. Researchers have paid less attention to O-MEE data pre-processing in terms of feature selection, methods that handle missing values and imbalanced datasets, and tuning parameters of ML techniques. Classification data mining is the task most addressed using different accuracy criteria such as Precision, Recall, and Accuracy, as well as Wilcoxon and Mann-Whitney statistical tests. Conclusion: This SLR identifies a number of gaps in the current research and suggests areas for further investigation. For instance, since OSS includes different data source formats, researchers should pay more attention to data p

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

A Systematic Review of Complexity in Agile software project Delivery 34

A Systematic Review of Complexity in Agile Software Project ...

引用

34th Australasian Conference on Information Systems, ACIS 2023

作者： Vaipulu, Taniela Lal, Ramesh Thorpe, Stephen J. Project Management Research Office Software Engineering Research Centre Department of Computer Science and Software Engineering School of Engineering Computer and Mathematical Sciences Auckland University of Technology New Zealand

In Agile software delivery, complexity factors have become an important part that has been linked to the success of software projects, especially with highly structured plan-driven approaches. Although there are a range of known techniques, practices and structures aimed at improving communication, team, and organisational cohesion, there remains a poor understanding of how organisations and teams can effectively deal with complexity in Agile software delivery. While theoretical and management frameworks of complexity exist, nevertheless, little is known about the important complexity factors at play in the planning, design, and creation of Agile software at the various levels of organisational structures. To better understand complexity and how it may impact Agile delivery across organisational structures, processes and roles, a systematic literature review was undertaken to identify the known complexity factors, to identify gaps in our knowledge, and to identify the approaches that have been undertaken to date to address complexity. This review contributes a fresh perspective to the literature on complexity in Agile software delivery and forwards our conversation on complexity in IT projects, and their effective management. The review was structured around Remington and Pollack’s (2016) model identifying different types of complexity. The review’s findings indicate that complexities result from aspects in functional teams, organizational structures, roles, Agile tasks, and practice-related issues that were identified in distributed Agile projects. We conclude that there may remain a lack of understanding in practice of the complexity factors that are at play in an Agile software delivery context. These findings are relevant to researchers and practitioners seeking to identify areas of focus for addressing complexity in Agile software delivery. Copyright © 2023 Taniela Ramesh Stephen.

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

A Systematic Review of Complexity in Agile software project Delivery 44

A Systematic Review of Complexity in Agile Software Project ...

引用

44th International Conference on Information Systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, ICIS 2023

ISBN: (纸本)9781713893622

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

Accessibility Evaluation Of Five Moroccan E-government Portals 33

Accessibility Evaluation Of Five Moroccan E-government Porta...

引用

Joint of the 33rd International Workshop on software Measurement and the 18th International Conference on software Process and Product Measurement, IWSM-MENSURA 2024

作者： Ouaziz, Mohammed Rida Cheikhi, Laila Idri, Ali Abran, Alain Software Project Management Team ENSIAS Mohammed V University in Rabat Morocco Department of Software Engineering Information Technology École de Technologie Supérieure Montréal Canada

In the present era, e-government portals are viewed as an effective means of providing online services to citizens. It is imperative for everyone to guarantee equitable access to these services, irrespective of their abilities or limitations. Hence, accessibility is vital for those with disabilities and advantageous for everyone. Web Content Accessibility Guidelines (WCAG) provide a comprehensive set of guidelines, in terms of success criteria, that are widely utilized in various tools to assess the accessibility of websites or portals. By following these guidelines, developers can ensure that their websites are accessible to everyone. This paper reports on a study of the accessibility evaluation of five Moroccan e-government portals using the AChecker tool with respect to WCAG. The aim was to prepare recommendations to improve the overall user experience across Moroccan e-government portals. The evaluation results analysis showed that the portals have some common as well as different failed success criteria with different numbers of errors per WCAG principle and conformance level. In particular, all the portals exhibited varying degrees of adherence to the four principles, and most of the portals struggled to meet levels A and AA, and none of them achieve perfect conformance across all levels. To address this issue, a set of recommendations is provided for each portal to enhance accessibility. The lessons learned from this study can contribute to more inclusive e-government portals and provide insights for governments and designers to prioritize accessibility enhancements. © 2024 Copyright for this paper by its authors.

关键词： Portals

来源：评论

学校读者我要写书评

暂无评论

Bug Resolution Prediction for Open-Source software Using Ensembles of Instance Selection Algorithms 9

Bug Resolution Prediction for Open-Source Software Using Ens...

引用

9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Miloudi, Chaymae Cheikhi, Laila Idri, Ali Abran, Alain Ensias Mohammed v University Software Project Management Team Rabat Morocco Ecole de Technologie Superieure Department of Software Engineering & Information Technology Montreal Canada

ISBN: (纸本)9798350311402

Studies about maintenance effort estimation of open-source software have investigated the impact of single instance selection on the performance machine learning techniques. However, Ensemble of Instance Selection (EIS) has not been investigated for this topic, especially for bug resolution prediction. This empirical study considers the impact of EIS on the performance of k-Nearest Neighbor, Support Vector Machine, and Multinomial Naïve Bayes techniques. A set of 27 classifiers are built using Bagging and Random Feature Subset Ensembles based on AllkNN single instance selection algorithm on three datasets. The results are presented, together with a comparative analysis of the built classifiers' performance. The results show that the investigated EIS algorithms improve the performance of ML classifiers and outperform the single instance selection algorithm-based classifiers. © 2023 IEEE.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

The Impact of Grid Search on Bug Resolution Prediction for Open-Source software 9

The Impact of Grid Search on Bug Resolution Prediction for O...

引用

9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Miloudi, Chaymae Cheikhi, Laila Idri, Ali Abran, Alain Mohammed v University in Rabat Software Project Management Team Ensias Morocco École de Technologie Supérieure Montréal Department of Software Engineering & Information Technology Canada

ISBN: (纸本)9798350311402

In software engineering, maintenance effort estimation is a challenging research topic. Several empirical studies have focused on Maintenance Effort Estimation for Open Source software (O-MEE) using Machine Learning (ML) techniques. Although Tuning the Parameters (TP) of ML techniques has proved to improve their performance, it has not yet been investigated in the context of O-MEE for bug resolution prediction. Therefore, this empirical study investigates the impact of grid search TP method, on the performance of k-Nearest Neighbor, Support Vector Machine, and Random Tree using Eclipse Platform, Eclipse JDT, and Apache datasets. A set of 18 ML classifiers were built and the results show the positive impact of the TP on the ML techniques' performance compared to the default ones. © 2023 IEEE.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Comparing Puncture-Detection Approaches for Manual Needle Insertions Through the Parietal Pleura

IEEE Transactions on Medical Robotics and Bionics

引用

IEEE Transactions on Medical Robotics and Bionics 2025年第2期7卷 455-468页

作者： L'orsa, Rachael Zareinia, Kourosh Sutherland, Garnette R. Westwick, David Kuchenbecker, Katherine J. University of Calgary Schulich School of Engineering Department of Electrical and Software Engineering Project neuroArm's Surgical Performance Laboratory CalgaryABT2N 1N4 Canada Max Planck Institute for Intelligent Systems Haptic Intelligence Department Stuttgart70569 Germany Toronto Metropolitan University Department of Mechanical Industrial and Mechatronics Engineering TorontoONM5B 2K3 Canada University of Calgary Project neuroArm Cumming School of Medicine CalgaryABT2N 1N4 Canada University of Calgary Schulich School of Engineering Department of Electrical and Software Engineering CalgaryABT2N 1N4 Canada

Tube thoracostomy (chest tube insertion) is a surgical procedure that treats pneumothorax, a potentially life-threatening condition where air accumulates between the chest wall and the lungs. The literature reports high complication rates for this procedure, including accidental fatality due to poor manual depth control during tool insertion. We hypothesize that an instrumented needle-holder could help operators recognize pleural puncture and improve depth control, and we present a puncture-detection experiment that contributes toward this goal. An operator manually inserted a bevel-tip needle into ex vivo porcine ribs and through the parietal pleura via a sensorized percutaneous device that records position, force, and videos. We use this rich dataset of 63 insertions to thoroughly test four previously published data-driven puncture-detection (DDPD) algorithms against two new real-time algorithms: a custom recursive digital filter with coefficients optimized for our application, and a difference equation that compares standard deviations between adjacent sliding windows. Our algorithms achieve a precision (true positives over total identified punctures) of 23% and 22%, respectively, while the precision of existing DDPD algorithms ranges from 0% to 21%. Despite these performance improvements, our results show the limitations of DDPD algorithms and motivate new methods for detecting pleural membrane punctures in thoracostomy. © 2018 IEEE.

关键词： Needles

来源：评论

学校读者我要写书评

暂无评论

Test-activity Analysis for Efficient Iterative Testing

引用

NTT Technical Review 2022年第4期20卷 26-31页

作者： Tanno, Haruto Kirinuki, Hiroyuki Kawaguchi, Takahiro Tajima, Masaki Oinuma, Morihide Muramoto, Tatsuya Software Engineering and Operation Technology Project NTT Software Innovation Center Japan

There is a growing demand for the early release of software while holding down costs. software testing, which makes up a large portion of overall development costs and is essential to ensuring a certain level of quality in software, can be viewed as the cornerstone of quality, cost, and delivery in the development process. The NTT software Innovation Center has developed technology that dramatically improves the efficiency of software testing and has made it available as open-source software. In this article, we introduce this technology. © 2022 Nippon Telegraph and Telephone Corp.. All rights reserved.

关键词： software testing

来源：评论

学校读者我要写书评

暂无评论

Maintenance Effort Estimation for Open Source software: Current trends 31

Maintenance Effort Estimation for Open Source Software: Curr...

引用

Joint Conference of the 31st International Workshop on software Measurement and 16th International Conference on software Process and Product Measurement, IWSM-MENSURA 2022

作者： Miloudi, Chaymae Cheikhi, Laila Abran, Alain Idri, Ali Software Project Management Team ENSIAS Mohammed V University Rabat Morocco Department of Software Engineering & Information Technology École de Technologie Supérieure Montréal Canada

software maintenance of Open Source software (OSS) has gained more attention in recent years and facilitated by the help of the Internet. Since volunteers in OSS do not record the effort of their contribution in maintenance tasks, researchers have to indirectly estimate the maintenance effort of such software. A review of the published OSS-MEE models has been performed using a set of 65 selected studies in a Systematic Mapping Study (SMS). This study analyses, discusses the state of the art about O-MEE and identifies trends through five additional Mapping Questions (MQs). In summary, various maintenance effort estimation (MEE) models were developed for OSS or industrial software. Researchers have mostly expressed the maintenance effort in terms of bug fixing, bug resolution time and severity in conjunction with bug report attributes. Regression Analysis and Bayesian Networks were most used estimation techniques, Recall, Precision, R2 and F-measure evaluation criteria in addition to k-fold cross validation method. Most of the models were implemented using WEKA, R software and MATLAB. More than half of the selected studies lacked of any validity analysis of their results. Trends are also discussed to identify a set of implications for researchers. © 2020 Copyright for this paper by its authors.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Analyzing emotions in online classes: Unveiling insights through topic modeling, statistical analysis, and random walk techniques

引用

International Journal of Cognitive Computing in engineering 2024年第1期5卷 221-236页

作者： Abdellaoui, Benyoussef Remaida, Ahmed Sabri, Zineb Abdellaoui, Mohammed El Hafidy, Abderrahim El Bouzekri El Idrissi, Younes Moumen, Aniss National School of Applied Sciences Engineering Sciences Laboratory Ibn Tofaïl University Kenitra Morocco Faculty of Sciences Laboratory of Computer Science Ibn Tofaïl University Kenitra Morocco LPHE-modeling and Simulation Faculty of Sciences Mohammed V University Rabat Morocco Software Project Management Research Team ENSIAS Mohammed V University Rabat Morocco

High dropout rates globally perpetuate educational disparities with various underlying causes. Despite numerous strategies to address this issue, more attention should be given to understanding and addressing student emotions during classes. This lack of focus adversely affects learner engagement and retention rates. While previous studies on online learning have primarily emphasized the effectiveness of technology, infrastructure, cognition, motivation, and economic benefits, there is still a gap in understanding the emotional aspects of distance learning. First, this study addresses this gap by employing thematic modeling and utilizing non-negative matrix factorization (NMF) for emotion recognition through students’ deep learning techniques and facial emotion recognition (FER). Second, statistical analysis of these findings further augments the depth of the study. Finally, the research proposes a mathematical model based on the random walk of emotional state transitions. The findings of this study underscore the importance of considering emotions in distance learning environments and their significant impact on student's academic performance and satisfaction. By acknowledging and addressing these emotional factors, educators can enhance learner engagement, promote positive emotions, mitigate negative emotions during online learning, and ultimately improve the effectiveness of online courses. © 2024 The Authors

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：