Integrating User Sentiment into Software Evolution Processes

对于拥有大量用户基础和快速发展需求的大型软件应用程序来说，维护其质量是一项挑战。源代码重构、面向对象重构和缺陷预测方法是积极的研究工作的例证，这些研究工作旨在随着应用程序的发展而提高应用程序的质量。然而，应用程序的质量并不总是反映该应用程序的感知质量。具体来说，感知质量捕获了用户对应用程序和实际应用程序的缺陷的感知和情绪（例如，用户的态度、意见或感觉）。例如，一个有30个很少被展示的缺陷的应用程序可能比一个有一个经常被展示的缺陷的应用程序具有更好的感知质量。

It is challenging to maintain the quality of large-scale software applications with a large user base and rapidly evolving requirements. Source code restructuring, object oriented refactoring and defect prediction approaches exemplify active research efforts to improve the quality of applications as they evolve. However, the quality of an application does not always reflect perceived quality of that application. Specifically, perceived quality captures users’ perception and sentiment (e.g., users’ attitude, opinion or feeling) towards an application and the faultiness of the actual application. For example, an application with 30 defects which are rarely exhibited may have better perceived quality than an application with one defect that is exhibited frequently.