Backward compatibility of software interfaces: Steps towards automatic verification

Ponomarenko, Andrey; Rubanov, Vladimir

doi:10.1134/s0361768812050052

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…4: Difference between DepOwl and existing tools. This figure includes source-code level (1,2) and binary level (3,4) compatibility between libraries and applications (2,3), or cross different library versions (1,4). Existing tools focus on (1,2,4), while DepOwl addresses (3).…”

Section: M O T I V a T I O N A N D Ov E R V Ie W O F Depowlmentioning

confidence: 99%

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DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures

Jia

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

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Applications depend on libraries to avoid reinvent ing the wheel. Libraries may have incompatible changes during evolving. As a result, applications will suffer from compatibility failures. There has been much research on addressing detecting incompatible changes in libraries, or helping applications co evolve with the libraries. The existing solution helps the latest application version work well against the latest library version as an afterthought. However, end users have already been suffering from the failures and have to wait for new versions. In this paper, we propose DepOwl, a practical tool helping users prevent compatibility failures. The key idea is to avoid using incompatible versions from the very beginning. We evaluated DepOwl on 38 known compatibility failures from StackOverflow, and DepOwl can prevent 35 of them. We also evaluated DepOwl using the software repository shipped with Ubuntu-19.10. DepOwl detected 77 unknown dependency bugs, which may lead to compatibility failures.

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Section: M O T I V a T I O N A N D Ov E R V Ie W O F Depowlmentioning

confidence: 99%

“…Mezzetti et al [5] proposed type regression testing to determine whether a library update affects its public interfaces. Ponomarenko et al [2] presented a new method for automatic detection of backward compatibility problems at the binary level. Wu et al [3] proposed a hybrid approach to identify framework evolution rules.…”

Section: II R E L a T E D W O R K Smentioning

confidence: 99%

DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures

Jia

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

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“…On the other hand, the technological limitations include the potential obstacles encountered when bidirectionally integrating the local systems with the central one. Moreover, backward compatibility of newer versions of the system with older ones, as described in scientific literature (Ponomarenko & Rubanov, 2012), should be considered. It is also recommended to determine the frequency of software updates and their technical requirements because updates extending functionality and based on full system integration often require support by more modern hardware generations.…”

Section: The Proposition Of Enhancementsmentioning

confidence: 99%

On Enhancing and Automating the Covid-19 Case Reporting System in Poland

Hadasik

Kubiczek

2021

HSSR

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Purpose of the study: The paper aims to create a proposal to extend the functionality of the currently operating COVID‑19 case reporting system in Poland. Methodology: Empirical analysis of the current COVID-19 reporting system in Poland with three axes: (1) description of the system functionalities according to official (governmental) sources; (2) listing and characterization of the current system defects causing ineffectiveness of reporting; (3) proposition of systemic alterations to reduce the level of reporting inefficiency preparation and for possible future phenomena related to the pandemic evolution. Main Findings: The reporting system is ineffective as the systems of local medical laboratories performing coronavirus tests are not fully integrated with the central system. Data transfer to the central repository is not executed automatically but relies on manual input by a laboratory technician. Thus, the data in the system are published with a certain delay. Applications of this study: Improving the infection reporting system may prove useful for both legislators and local health regulatory authorities. This may translate into an improved case prediction model and thus greater objectivity in the case of the introduction of new restrictions. Novelty/Originality of this study: The dynamic course of the coronavirus pandemic made it necessary to monitor the number of cases, deaths and, above all, to find outbreaks. The IT systems reporting SARS-CoV-2 cases were developed in a quick manner and solutions were advanced on an ongoing basis. Due to numerous modifications, these systems lack operational efficiency. This study discusses how the current Polish COVID-19 case reporting system works and presents proposals for its refinements which may contribute to ameliorations in many other national systems.

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Backward compatibility of software interfaces: Steps towards automatic verification

Cited by 10 publications

References 7 publications

DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures

DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures

On Enhancing and Automating the Covid-19 Case Reporting System in Poland

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