Development of Software Quality Analytics at National Bank

加拿大国家银行是加拿大最大的银行之一。其软件系统的可靠性直接影响加拿大人在本地和国际上获得的银行服务质量，因此国家银行希望确保其软件系统的质量。以前的工作表明，存储在常见工具中的数据，如错误跟踪器和源代码控制工具，可以用来帮助确保软件系统的高质量。因此，本提案的目标是根据国家银行的数据开发分析和模型，以帮助他们识别对其软件系统质量产生负面影响的现象，并根据经验验证开发的分析和模型。为了实现这一目标，我们计划解决三个主要的子目标：1）我们计划开发一个框架，以摄取，预处理和链接由国家银行的软件开发工具收集的数据; 2）我们计划从软件存储库数据执行数据分析和可重构分析; 3）我们计划以经验验证开发的分析和模型在检测软件质量问题方面的有效性。如果成功的话，拟议中的研究结果将有助于使国家银行超越其竞争对手，在某些情况下，这些竞争对手是美国银行、摩根大通和汇丰银行等大银行。这将反过来加强加拿大在上述银行业务领域的地位，这些领域是加拿大经济中最具影响力的领域。

National Bank of Canada is one the largest Canadian Banks. The reliability of its software systems has a directimpact on the quality of banking services received by Canadians both locally and internationally, henceNational Bank would like to ensure the quality of their software systems. Prior work has shown that data,stored in common tools, such as bug trackers and source code control tools can be leveraged to help ensure thehigh quality of software systems. Therefore, the goal of this proposal is to develop analytics and models, basedon National Bank's data, to help them identify phenomena that negatively impacts the quality of their softwaresystems and empirically validate the developed analytics and models. To achieve this objective, we plan toaddress three main sub-objectives 1) we plan to develop a framework to ingest, preprocess and link datacollected by National Bank's software development tools; 2) we plan to perform data analysis and createanalytics from software repository data; 3) we plan to empirically validate the effectiveness of the developedanalytics and models in detecting software quality issues. If successful, the outcome of the proposed researchwill help put National Bank above its competitors, who in some cases are big players such as Bank of America,JPMorgan Chase and HSBC. This will, in turn, strengthen the Canadian position in the aforementioned areasthat the bank operates in, which are some of the most impacting areas of the Canadian economy.