Compatibility Prediction of Eclipse Third-Party Plug-ins in New Eclipse Releases

John Businge, Alexander Serebrenik, M. Brand
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引用次数: 13

Abstract

Incompatibility between applications developed on top of frameworks with new versions of the frameworks is a big nightmare to both developers and users of the applications. Understanding the factors that cause incompatibilities is a step to solving them. One such direction is to analyze and identify parts of the reusable code of the framework that are prone to change. In this study we carried out an empirical investigation on 11 Eclipse SDK releases (1.0 to 3.7) and 288 Eclipse third-party plug-ins (ETPs) with two main goals: First, to determine the relationship between the age of Eclipse non-APIs (internal implementations) used by an ETP and the compatibility of the ETP. We found that third-party plug-in that use only old non-APIs have a high chance of compatibility success in new SDK releases compared to those that use at least one newly introduced non-API. Second, our goal was to build and test a predictive model for the compatibility of an ETP, supported in a given SDK release in a newer SDK release. Our findings produced 23 statistically significant prediction models having high values of the strength of the relationship between the predictors and the prediction (logistic regression R2 of up to 0.810). In addition, the results from model testing indicate high values of up to 100% of precision and recall and up to 98% of accuracy of the predictions. Finally, despite the fact that SDK releases with API breaking changes, i.e., 1.0, 2.0 and 3.0, have got nothing to do with non-APIs, our findings reveal that non-APIs introduced in these releases have a significant impact on the compatibility of the ETPs that use them.
Eclipse新版本中第三方插件的兼容性预测
在框架之上开发的应用程序与新版本框架之间的不兼容性对于应用程序的开发人员和用户来说都是一个巨大的噩梦。了解导致不兼容的因素是解决它们的第一步。其中一个方向是分析和识别框架中易于更改的可重用代码部分。在这项研究中,我们对11个Eclipse SDK版本(1.0到3.7)和288个Eclipse第三方插件(ETP)进行了实证调查,主要有两个目标:首先,确定ETP使用的Eclipse非api(内部实现)的年龄与ETP的兼容性之间的关系。我们发现,与那些使用至少一个新引入的非api的插件相比,只使用旧的非api的第三方插件在新SDK版本中获得兼容性成功的几率很高。其次,我们的目标是构建和测试ETP兼容性的预测模型,在一个新的SDK版本中支持给定的SDK版本。我们的研究结果产生了23个具有统计显著性的预测模型,预测因子与预测之间的关系强度很高(logistic回归R2高达0.810)。此外,模型测试的结果表明,准确率和召回率高达100%,预测准确率高达98%。最后,尽管带有API突破性变化的SDK版本,即1.0、2.0和3.0,与非API无关,但我们的研究结果表明,在这些版本中引入的非API对使用它们的etp的兼容性有重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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