02:00 - 02:10

• Bixie: Finding and Understanding Inconsistent Code

  We present Bixie, a tool to detect inconsistencies in Java code. Bixie detects inconsistent code at a higher precision than previous tools and provides novel fault localization techniques to explain why code is inconsistent. We demonstrate the usefulness of Bixie on over one million lines of code, show that it can detect inconsistencies at a low false alarm rate, and fix a number of inconsistencies in popular open-source projects. Watch our Demo at http://youtu.be/QpsoUBJMxhk.

Tim McCarthy; Martin Schäf; Philipp Rümmer

SRI International, USA; Uppsala University, Sweden

02:10 - 02:20

• TaskNav: Task-Based Navigation of Software Documentation

  To help developers navigate documentation, we introduce Task Nav, a tool that automatically discovers and indexes task descriptions in software documentation. With Task Nav, we conceptualize tasks as specific programming actions that have been described in the documentation. Task Nav presents these extracted task descriptions along with concepts, code elements, and section headers in an auto-complete search interface. Our preliminary evaluation indicates that search results identified through extracted task descriptions are more helpful to developers than those found through other means, and that they help bridge the gap between documentation structure and the information needs of software developers. Video: https://www.youtube.com/watch?v=opnGYmMGnqY.

   

  Preprint available:

Christoph Treude; Mathieu Sicard; Marc Klocke; Martin P. Robillard

Universidade Federal do Rio Grande do Norte, Brazil; McGill University, Canada

02:20 - 02:30

• ViDI: The Visual Design Inspector

  We present ViDI (Visual Design Inspector), a novel code review tool which focuses on quality concerns and design inspection as its cornerstones. It leverages visualization techniques to represent the reviewed software and augments the visualization with the results of quality analysis tools. To effectively understand the contribution of a reviewer in terms of the impact of her changes on the overall system quality, ViDI supports the recording and further inspection of reviewing sessions. ViDI is an advanced prototype which we will soon release to the Pharo open-source community. Video URL: http://youtu.be/EtdkcNBJAec

   

  Preprint available:

Yuriy Tymchuk; Andrea Mocci; Michele Lanza

University of Lugano, Switzerland

02:30 - 02:40

• Bootstrapping Mobile App Development

  Modern IDEs provide limited support for developers when starting a new data-driven mobile app. App developers are currently required to write copious amounts of boilerplate code, scripts, organise complex directories, and author actual functionality. Although this scenario is ripe for automation, current tools are yet to address it adequately. In this paper we present RAPPT, a tool that generates the scaffolding of a mobile app based on a high level description specified in a Domain Specific Language (DSL). We demonstrate the feasibility of our approach by an example case study and feedback from a professional development team. Demo at: https://www.youtube.com/watch?v=ffquVgBYpLM .

   

  Preprint available:

Scott Barnett; Rajesh Vasa; John Grundy

Swinburne University of Technology, Australia

02:40 - 02:50

• Source Code Curation on StackOverflow: The Vesperin System

  The past few years have witnessed the rise of software question and answer sites like Stack Overflow, where developers can pose detailed coding questions and receive quality answers. Developers using these sites engage in a complex code foraging process of understanding and adapting the code snippets they encounter. We introduce the notion of source code curation to cover the act of discovering some source code of interest, cleaning and transforming (refining) it, and then presenting it in a meaningful and organized way. In this paper, we present Vesper in, a source code curation system geared towards curating Java code examples on Stack Overflow.

Huascar Sanchez; Jim Whitehead

UC Santa Cruz, USA

02:50 - 03:00

• The ECCO Tool: Extraction and Composition for Clone-and-Own

  Software reuse has become mandatory for companies to compete and a wide range of reuse techniques are available today. However, ad hoc practices such as copying existing systems and customizing them to meet customer-specific needs are still pervasive, and are generically called clone-an down. We have developed a conceptual framework to support this practice named ECCO that stands for Extraction and Composition for Clone-and-Own. In this paper we present our Eclipse-based tool to support this approach. Our tool can automatically locate reusable parts from previously developed products and subsequently compose a new product from a selection of desired features. The tools demonstration video can be found here: http://youtu.be/N6gPekuxU6o.

Stefan Fischer; Lukas Linsbauer; Roberto Erick Lopez-Herrejon; Alexander Egyed

Johannes Kepler University, Austria

03:00 - 03:10

• Extract Package Refactoring in ARIES

  Software evolution often leads to the degradation of software design quality. In Object-Oriented (OO) systems, this often results in packages that are hard to understand and maintain, as they group together heterogeneous classes with unrelated responsibilities. In such cases, state-of-the-art re-modularization tools solve the problem by proposing a new organization of the existing classes into packages. However, as indicated by recent empirical studies, such approaches require changing thousands of lines of code to implement the new recommended modularization. In this demo, we present the implementation of an Extract Package refactoring approach in ARIES (Automated Refactoring In EclipSe), a tool supporting refactoring operations in Eclipse. Unlike state-of-the-art approaches, ARIES automatically iden- tifies and removes single low-cohesive packages from software systems, which represent localized design flaws in the package organization, with the aim to incrementally improve the overall quality of the software modularisation.

   

  Preprint available:

Fabio Palomba; Michele Tufano; Gabriele Bavota; Rocco Oliveto; Andrian Marcus; Denys Poshyvanyk; Andrea De Lucia

University of Salerno, Italy; College of William and Mary, USA; Free University of Bozen, Italy; University of Molise, Italy; The University of Texas at Dallas, USA

03:10 - 03:20

• scvRipper: Video Scraping Tool for Modeling Developers' Behavior Using Interaction Data

  Screen-capture tool can record a user's interaction with software and application content as a stream of screenshots which is usually stored in certain video format. Researchers have used screen-captured videos to study the programming activities that the developers carry out. In these studies, screen-captured videos had to be manually transcribed to extract software usage and application content data for the study purpose. This paper presents a computer-vision based video scraping tool (called scvRipper) that can automatically transcribe a screen-captured video into time-series interaction data according to the analyst's need. This tool can address the increasing need for automatic behavioral data collection methods in the studies of human aspects of software engineering. Demo video: https://www.youtube.com/watch?v=DElYOhids8Y .

   

  Preprint available:

Lingfeng Bao; Jing Li; Zhenchang Xing; Xinyu Wang; Bo Zhou

Zhejiang University, China; Nanyang Technological University, Singapore

03:20 - 03:30

• Chiminey: Reliable Computing and Data Management Platform in the Cloud

  The enabling of scientific experiments that are embarrassingly parallel, long running and data-intensive into a cloud-based execution environment is a desirable, though complex undertaking for many researchers. The management of such virtual environments is cumbersome and not necessarily within the core skill set for scientists and engineers. We present here Chiminey, a software platform that enables researchers to (i) run applications on both traditional high-performance computing and cloud-based computing infrastructures, (ii) handle failure during execution, (iii) curate and visualise execution outputs, (iv) share such data with collaborators or the public, and (v) search for publicly available data. Demo video: http://youtu.be/Twi-d2WT94A.

Iman Yusuf; Ian Thomas; Maria Spichkova; Steve Androulakis; Grischa Meyer; Daniel Drumm; George Opletal; Salvy P. Russo; Ashley M. Buckle; Heinz W. Schmidt

Applied Data Science, Australia; RMIT University, Australia; Monash University, Australia