Towards Structure-Based Quality Awareness in Software Ecosystem Use

Author(s):  
Klaus Marius Hansen ◽  
Weishan Zhang
2021 ◽  
Vol 26 (3) ◽  
Author(s):  
Bodin Chinthanet ◽  
Raula Gaikovina Kula ◽  
Shane McIntosh ◽  
Takashi Ishio ◽  
Akinori Ihara ◽  
...  

AbstractSecurity vulnerability in third-party dependencies is a growing concern not only for developers of the affected software, but for the risks it poses to an entire software ecosystem, e.g., Heartbleed vulnerability. Recent studies show that developers are slow to respond to the threat of vulnerability, sometimes taking four to eleven months to act. To ensure quick adoption and propagation of a release that contains the fix (fixing release), we conduct an empirical investigation to identify lags that may occur between the vulnerable release and its fixing release (package-side fixing release). Through a preliminary study of 231 package-side fixing release of npm projects on GitHub, we observe that a fixing release is rarely released on its own, with up to 85.72% of the bundled commits being unrelated to a fix. We then compare the package-side fixing release with changes on a client-side (client-side fixing release). Through an empirical study of the adoption and propagation tendencies of 1,290 package-side fixing releases that impact throughout a network of 1,553,325 releases of npm packages, we find that stale clients require additional migration effort, even if the package-side fixing release was quick (i.e., package-side fixing releasetypeSpatch). Furthermore, we show the influence of factors such as the branch that the package-side fixing release lands on and the severity of vulnerability on its propagation. In addition to these lags we identify and characterize, this paper lays the groundwork for future research on how to mitigate propagation lags in an ecosystem.


Author(s):  
Igor R. Alencar ◽  
Emanuel F. Coutinho ◽  
Leonardo O. Moreira ◽  
Carla I. M. Bezerra

2019 ◽  
Vol 75 (5) ◽  
pp. 1082-1099 ◽  
Author(s):  
Rita Marcella ◽  
Graeme Baxter ◽  
Agnieszka Walicka

Purpose The purpose of this paper is to present the results of a study that explored human behaviour in response to political “facts” presented online by political parties in Scotland. Design/methodology/approach The study consisted of interactive online interviews with 23 citizens in North-East Scotland, in the run-up to the 2017 UK General Election. Findings Participants demonstrated cognitive and critical responses to facts but little affective reaction. They judged facts swiftly and largely intuitively, providing evidence that facts are frequently consumed, accepted or rejected without further verification processes. Users demonstrated varying levels of engagement with the information they consume, and subject knowledge may influence the extent to which respondents trust facts, in previously unanticipated ways. Users tended to notice facts with which they disagreed and, in terms of prominence, particularly noted and responded to facts which painted extremely negative or positive pictures. Most acknowledged limitations in capacity to interrogate facts, but some were delusionally confident. Originality/value Relatively little empirical research has been conducted exploring the perceived credibility of political or government information online. It is believed that this and a companion study are the first to have specifically investigated the Scottish political arena. This paper presents a new, exploratory fact interrogation model, alongside an expanded information quality awareness model.


2020 ◽  
Vol 26 (1) ◽  
Author(s):  
Emanuel F. Coutinho ◽  
Carla I. M. Bezerra

Abstract A Software Ecosystem (SECO) refers to a collection of software products with some degree of symbiotic relationship. SOLAR is a Virtual Learning Environment (VLE) that enables the publication of courses and interaction with them among its various users. In this context, SOLAR SECO emerges, where diverse situations of software evolution and maintenance are part of its development process. The aim of this paper is to discuss the dynamic variability of SOLAR educational software ecosystem and software modeling. As an example, dynamic variability aspects of the feature model of SOLAR VLE discussion forum functionality were discussed, one of the most widely used services within SOLAR SECO. As a major conclusion of this work, we identified that the use of the contextual feature diagram allows the study of the dynamic aspects of a system, even more supported by tools to support automatic measurement collection.


IEEE Software ◽  
2019 ◽  
Vol 36 (3) ◽  
pp. 45-49 ◽  
Author(s):  
Yossi Lichtenstein ◽  
Stjepan Dujmovic ◽  
Charles Baden-Fuller
Keyword(s):  

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