A search engine for finding and reusing architecturally significant code

doi:10.1016/j.jss.2016.11.034

Return

A search engine for finding and reusing architecturally significant code

2017-08-01

Ibrahim Mujhid

Joanna C. S. Santos

Raghuram Gopalakrishnan

Mehdi Mirakhorli *

DOI：10.1016/j.jss.2016.11.034

Original

Save

View PDF

Abstract

En 中文

Architectural tactics are the building blocks of software architecture. They describe solutions for addressing specific quality concerns, and are prevalent across many software systems. Once a decision is made to utilize a tactic, the developer must generate a concrete plan for writing code and implementing the tactic. Unfortunately, this is a non-trivial task even for experienced developers. Often, developers resort to using search engines, crowd-sourcing websites, or discussion forums to find sample code snippets to implement a tactic. A fundamental problem of finding implementation for architectural tactics/patterns is the mismatch between the high-level intent reflected in the descriptions of these patterns and the low-level implementation details of them. To reduce this mismatch, we created a novel Tactic Search Engine called ArchEngine (ARCHitecture search ENGINE). ArchEngine can replace this manual internet-based search process and help developers find and reuse tactical code from a wide range of open source systems. ArchEngine helps developers find implementation examples of an architectural tactic for a given technical context. It uses information retrieval and program analysis techniques to retrieve applications that implement these design concepts. Furthermore, it lists and rank the code snippets where the patterns/tactics are located. Our case study with 21 graduate students (with experience level of junior software developers) shows that ArchEngine is more effective than other search engines (e.g., Krugle and Koders) in helping programmers to quickly find implementations of architectural tactics/patterns. (C) 2016 Published by Elsevier Inc.

Keywords:

Architecture

Traceability

Tactics

Information

Models

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.