Studying Android App Popularity by Cross-Linking GitHub and Google Play Store

Businge, John; Openja, Moses; Kavaler, David; Khomh, Foutse; Filkov, Vladimir

doi:10.1109/saner.2019.8667998

Cited by 29 publications

(16 citation statements)

References 29 publications

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“…o Development of the system's versions for various mobile devices (separation depending on screen resolution and computing power) and OS running on them (iOS, Android, etc.) [52][53][54]. o Organization of permanent and public export of announcements of the system's content divided into thematic RSS (Really Simple Syndication) feeds, as well as reverse news' integration from sites of similar subjects [55][56][57].…”

Section: Development Of System's Functionalitymentioning

confidence: 99%

About the life cycle of information systems based on open Web-technologies

Kratov¹,

Sokolova²

2021

3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments 2021

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The article describes the full life cycle of an information system based on open Webtechnologies from the point of view of developers and system administrators. The article starts with the development of technical specifications for an information system creation and ends with the system’s launching into operation and its subsequent uninterrupted operation. As the example, the creation process of the information system for the Foundation of Algorithms and Programs of the Siberian Branch of the Russian Academy of Sciences is described.

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Section: Development Of System's Functionalitymentioning

confidence: 99%

About the life cycle of information systems based on open Web-technologies

Kratov¹,

Sokolova²

2021

3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments 2021

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“…The CDSS, which we named the "ginasthma", is an application that can be run on mobile devices. According to the popularity of Android applications across the world [20], The Android platform was chosen for CDSS development. We used Java Android language in the Visual Android studio platform.…”

Section: Cdss Development and Programmingmentioning

confidence: 99%

“…This standard questionnaire was developed to support researchers to evaluate the effectiveness of CDSS systems in 2018. It evaluates context, content, system and implementation factors of the system [20].…”

Section: Usability Evaluationmentioning

confidence: 99%

Bridging the gap between evidence and practice in asthma management by developing a mobile-based clinical decision support system for GINA asthma guideline

Gholamzadeh

Abtahi

Amini

et al. 2020

Preprint

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Background Physicians’ compliance with clinical practice guidelines (CPG) remains insufficient. Guideline-based clinical decision support systems (CDSSs) can be beneficial to address this challenge. The principal objective of this research is to translate the Global Initiative for Asthma guideline (GINA) into a mobile-based CDSS to improve its utilization as a clinical decision-making tool.Methods Designing and development of our expert system were conducted in an iterative and stepwise approach by the multidisciplinary expert team. Translating and extracting the embedded knowledge in GINA was done according to the Knowledge to Action framework. Next, extracted knowledge was converted to decision tree models to design the knowledge-base of the desired system. The accuracy and proficiency of the expert system were calculated based on the predefined scenarios. The expert system usability was evaluated by the think-aloud protocol and the GUIDES questionnaire.Results Based on the analysis of the GINA guideline, more than 220 rules and 336 knowledge statements were extracted. Our knowledge-based expert system was devised based on production rules. After modification with feedback from six experts, the system was developed in the Android platform. The overall accuracy and efficiency of our CDSS were 100% and 100%, respectively.Conclusion The ginasthma mobile-based CDSS was developed for android smartphones to improve the adherence of health care providers to GINA guideline with high accuracy and efficiency. Further investigation is needed to evaluate the efficacy of this app in real practice.

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“…To assess the effectiveness of the classifier in predicting stability of the non-API methods we use such common measures as precision, recall, F-measure, and AUC [29], [27], [15], [30], [31].…”

Section: A Approachmentioning

confidence: 99%

How Stable Are Eclipse Application Framework Internal Interfaces?

Businge

Kawuma

Openja

et al. 2019

2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Self Cite

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Eclipse framework provides two interfaces: stable interfaces (APIs) and unstable interfaces (non-APIs). Despite the non-APIs being discouraged and unsupported, their usage is not uncommon. Previous studies showed that applications using relatively old non-APIs are more likely to be compatible with new releases compared to the ones that used newly introduced non-APIs; that the growth rate of non-APIs is nearly twice as much as that of APIs; and that the promotion of non-API to APIs happens at a slow pace since API providers have no assistance to identify public interface candidates. Motivated by these findings, our main aim was to empirically investigate the entire population (2,380K) of non-APIs to find the non-APIs that remain stable for a long period of time. We employ cross-project clone detection to identify whether non-APIs introduced in a given Eclipse release remain stable over successive releases. We provide a dataset of 327K stable non-API methods that can be used by both Eclipse interface providers as possible candidates of promotion. Instead of promoting non-APIs which are too fine-grained, we summarized the non-API methods groups in given classes that are stable together and present class-level non-APIs that possible candidates promotion. We have shown that it is possible to predict the stability of a non-API in subsequent Eclipse releases with a precision of ≥ 56%, a recall of ≥ 96% and an AUC of ≥ 92% and an Fmeasure of ≥ 81%. We have also shown that the metrics of length of a method and number of method parameters in a non-API method are very good predictors for the stability of the non-API in successive Eclipse releases. The results provided can help the API providers to estimate a priori how much work could be involved in performing the promotion.

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Studying Android App Popularity by Cross-Linking GitHub and Google Play Store

Cited by 29 publications

References 29 publications

About the life cycle of information systems based on open Web-technologies

About the life cycle of information systems based on open Web-technologies

Bridging the gap between evidence and practice in asthma management by developing a mobile-based clinical decision support system for GINA asthma guideline

How Stable Are Eclipse Application Framework Internal Interfaces?

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