Investigating Proprietary Software Ecosystem Governance and Health: An Updated and Refined Perspective

Author(s):  
Luiz Alexandre Costa ◽  
Awdren Fontão ◽  
Rodrigo Santos
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

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.


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