Effort Estimation for Architectural Refactoring of Data Tier Software

Ersin Ersoy, Hasan Sözer
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Abstract

Architectural refactoring requires substantial effort. We introduce an approach and a tool to predict this effort prior to refactoring. We focus on PL/SQL programs that are developed as data access tiers of business software. There are two types of common refactoring needs for these programs. First, some of the modules might need to be migrated to a separate database. Second, some of the modules in the data tier might need to be migrated to the application tier. In both cases, the refactoring effort is proportional to the amount of coupling between the migrated modules and the rest of the modules in the database. Our tool can parse PL/SQL programs to reveal this coupling based on an analysis of SQL queries. Unlike prior studies, our tool can analyze queries that are created dynamically and that use multiple tables as well as PL/SQL-specific features. We evaluate our approach with an industrial PL/SQL program from the telecommunications domain. Our results are approved to be accurate by domain experts.
数据层软件架构重构的工作量估算
架构重构需要大量的工作。我们介绍了一种方法和工具来在重构之前预测这种工作。我们专注于作为商业软件的数据访问层而开发的PL/SQL程序。这些程序有两种常见的重构需求。首先,可能需要将某些模块迁移到单独的数据库。其次,数据层中的一些模块可能需要迁移到应用程序层。在这两种情况下,重构工作量与迁移模块与数据库中其余模块之间的耦合量成正比。我们的工具可以解析PL/SQL程序来揭示基于SQL查询分析的这种耦合。与之前的研究不同,我们的工具可以分析动态创建的查询,使用多个表以及PL/ sql特定的功能。我们用一个来自电信领域的工业PL/SQL程序来评估我们的方法。我们的结果被领域专家认可是准确的。
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