Toward Empirically Investigating Non-Functional Requirements of iOS Developers on Stack Overflow

Ahmad, Arshad; Feng, Chong; Li, Kan; Asim, Syed Muhammad; Sun, Tingting

doi:10.1109/access.2019.2914429

Cited by 22 publications

(19 citation statements)

References 87 publications

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“…Social media technologies have been utilized effectively in various domains, for instance, software engineering [1][2][3][4][5]. Likewise, social media networks are preemptive platforms for politicians, political parties, political institutions, and foundations to connect to citizens.…”

Section: Introductionmentioning

confidence: 99%

Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis

Khan

Zhang

Shang

et al. 2020

Scientific Programming

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Politics is one of the hottest and most commonly mentioned and viewed topics on social media networks nowadays. Microblogging platforms like Twitter and Weibo are widely used by many politicians who have a huge number of followers and supporters on those platforms. It is essential to study the supporters’ network of political leaders because it can help in decision making when predicting their political futures. This study focuses on the supporters’ network of three famous political leaders of Pakistan, namely, Imran Khan (IK), Maryam Nawaz Sharif (MNS), and Bilawal Bhutto Zardari (BBZ). This is done using social network analysis and semantic analysis. The proposed method (1) detects and removes fake supporter(s), (2) mines communities in the politicians’ social network(s), (3) investigates the supporters’ reply network for conversations between supporters about each leader, and, finally, (4) analyses the retweet network for information diffusion of each political leader. Furthermore, sentiment analysis of the supporters of politicians is done using machine learning techniques, which ultimately predicted and revealed the strongest supporter network(s) among the three political leaders. Analysis of this data reveals that as of October 2017 (1) IK was the most renowned of the three politicians and had the strongest supporter’s community while using Twitter in a very controlled manner, (2) BBZ had the weakest supporters’ network on Twitter, and (3) the supporters of the political leaders in Pakistan are flexible on Twitter, communicating with each other, and that any group of supporters has a low level of isolation.

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Section: Introductionmentioning

confidence: 99%

Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis

Khan

Zhang

Shang

et al. 2020

Scientific Programming

Self Cite

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“…In 2004, Avizienis et al had put forward the main definitions relating to NFR, including attributes such as reliability, availability, safety, integrity, maintainability, etc. Ahmad et al used LDA topic model to investigate the different NFRs software developers concentrated on, the NFRs problems or difficulties the developers confronted with, and the evolving trends of different NFRs difficulty and focus on the evolution of time [43]. In [2], the authors first made the basic definitions for NFRs, and commented upon the properties that affect system quality.…”

Section: Related Work a Nfr Assuring Approachesmentioning

confidence: 99%

An Evaluation of Quantitative Non-Functional Requirements Assurance Using ArchiMate

et al. 2020

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Goal-oriented NFR (Non-Functional Requirement) assurance approaches were used to qualitatively evaluate software architectures. Assurance cases using quantitative method have not been applied to evaluate NFR assurance for software architectures. This paper presents a system architecture evaluation method which is able to conduct quantitative NFR assurance evaluation for system architecture through ArchiMate. The paper also proposes an algorithm to automate the quantitative evaluation process. A questionnaire survey among software engineers and a case study on a vehicular safety monitor system were carried out to verify the necessity of the method. Additionally, we conducted an experimental design with 18 samples divided into 2 groups with the goal of comparing how the independent variables affect the dependent variables. The results of the experiment demonstrate that the proposed method achieves better NFR evaluation effect than the traditional approach. Moreover, compared with the traditional approach, the proposed method shortens the time for NFR evaluation. The proposed method is expected to be used at the early stage of software development projects for system NFR development, such as requirements analysis, system architecture design and system modeling. At present, the method has been applied by software engineers in a practical software project.

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“…Furthermore, the authors have highlighted the difficulties of NFR in specific technologies. In a study conducted by Ahmad et al [40], the authors have investigated the NFRs specific to the iOS platform. The authors have collected iOS‐related questions from Stack Overflow and analysed the hidden topic using LDA.…”

Section: Related Workmentioning

confidence: 99%

Organising the knowledge from stack overflow about location‐sensing of Android applications

2020

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The number of Android applications using location information has increased significantly in recent years. Over time, there have been many improvements made to the location application programme interfaces (APIs), providing newer challenges and difficulties to the developers. Therefore, there is a need to summarise the existing knowledge and to highlight the unsolved issues to bring them to the attention of expert developers. The authors used the non-negative matrix factorisation (NMF) method to identify the topics discussed by the developers on stack overflow. They found the following ten topics: fundamental, background service, global positioning system (GPS) provider, application error, location updates, programming aspects, GPS alternatives, location settings, NULL location, and location testing. In addition, they performed a manual analysis to add more qualitative insights into the results. They applied the NMF method on 3165 question posts and produced ten related topics. This study aims at organising the knowledge about location-sensing strategies by answering three relevant research questions. They also analysed the most popular and unanswered topics in recent years. An important finding of this study is that the changes that occurred in the Google Location APIs have had a significant impact on the location-sensing strategies followed by the developers.

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Toward Empirically Investigating Non-Functional Requirements of iOS Developers on Stack Overflow

Cited by 22 publications

References 87 publications

Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis

Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis

An Evaluation of Quantitative Non-Functional Requirements Assurance Using ArchiMate

Organising the knowledge from stack overflow about location‐sensing of Android applications

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