Interaction-Aware Development Environments

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A short presentation of Interaction-Aware Development Environments, an IDE that records and exploits the interactions of the developer to support her workflow.

Software

Interaction-Aware
Development Environments
Roberto Minelli
REVEAL @ Faculty of Informatics
Università della Svizzera italiana (USI) @robertominelli

IDE
navigate
userinterface
userinput
edit
inspect

IDE
DFlow
Visualizing Developer Interactions
R. Minelli, A. Mocci, M. Lanza, L. Baracchi
VISSOFT 2014
Step1: 
Record
IDE
Interaction Data

IDE
Interaction Data
Step1: 
Record
Visualizing Developer Interactions
R. Minelli, A. Mocci, M. Lanza, L. Baracchi
VISSOFT 2014
IDE
DFlow

sessions
developers
development time
avg. session duration
# windows
events
1,800+
24
770+ hours
30 min
40,000+
5M+
Step1: 
Record

1,800+
24
770+ hours
30 min
40,000+
5M+
Step1: 
Record
sessions
developers
development time
avg. session duration
# windows
events

An Investigation of How Developers Spend Their Time
R. Minelli, A. Mocci, M. Lanza
ICPC 2015
Step2: 
Understand

I Know What You Did Last Summer
An Investigation of How Developers Spend Their Time
R. Minelli, A. Mocci, M. Lanza
ICPC 2015
5%
8%
14%
70%
4%
Step2: 
Understand
Editing
Understanding
Navigation
User Interface
Outside the IDE

5%
8%
14%
70%
4%
Step2: 
Understand
Editing
Understanding
Navigation
User Interface
Outside the IDE
I Know What You Did Last Summer
An Investigation of How Developers Spend Their Time
R. Minelli, A. Mocci, M. Lanza
ICPC 2015

5%
8%
14%
70%
4%
Step2: 
Understand
Editing
Understanding
Navigation
User Interface
Outside the IDE
vs.
I Know What You Did Last Summer
An Investigation of How Developers Spend Their Time
R. Minelli, A. Mocci, M. Lanza
ICPC 2015

5%
8%
14%
70%
4%
Editing
Understanding
Navigation
User Interface
Outside the IDE
PCC=0.65 (p < 10-16
)
vs.
Step2: 
Understand
I Know What You Did Last Summer
An Investigation of How Developers Spend Their Time
R. Minelli, A. Mocci, M. Lanza
ICPC 2015

Step3: 
Exploit
The plague doctor:
A promising cure for the window plague
R. Minelli, A. Mocci, M. Lanza
ICPC 2015 (ERA)

pin window
levels of relevance
candidate for closure
Step3: 
Exploit

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Software development is carried out using Integrated Development Environments (IDEs). An IDE is a collection of tools and facilities to support the most diverse software engineering activities such as writing code, debugging, and program comprehension. Each activity is composed of many basic events, such as clicking on a menu item, opening a new tab to browse the source code of a method, or adding a new statement in the body of a method. These events are generally known as interaction data. In my Ph.D. dissertation, we proposed the concept of "Interaction-Aware Development Environments": IDEs that collect, mine, and leverage the interactions of developers to support and simplify the workflow of developers. To support this vision, we developed DFlow: a plugin for the Pharo IDE to model, record, and interpret interaction data. Pharo is a pure object-oriented programming language and environment that is very suitable for research. Besides I do not regret doing research inside a niche development environment, after my doctoral studies I felt the desire to transfer my knowledge to a more popular IDE. In this talk, I will describe my journey alongside CodeLounge that led from DFlow to Tako, an extension for Visual Studio Code that collects, aggregates, and visualizes interaction data.

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Slides used for my PhD dissertation defense (13 November 2017). Thesis: “Interaction-Aware Development Environments enable novel and in-depth analyses of the behavior of software developers and set the ground to provide developers with effective and actionable support for their activities inside the IDE.” — Roberto Minelli, 2017 Abstract: Nowadays, software development is largely carried out using Integrated Development Environments, or IDEs. An IDE is a collection of tools and facilities to support the most diverse software engineering activities, such as writing code, debugging, and program comprehension. The fact that they are integrated enables developers to find all the tools needed for the development in the same place. Each activity is composed of many basic events, such as clicking on a menu item in the IDE, opening a new user interface to browse the source code of a method, or adding a new statement in the body of a method. While working, developers generate thousands of these interactions, that we call fine-grained IDE interaction data. In essence, this data captures the behavior of developers inside the IDE, but it is largely neglected by modern development environments. We believe that this data is a valuable source of information that can be leveraged to enable retrospective analyses and to offer novel support to developers. In this dissertation we propose the concept of "Interaction-Aware Development Environments": IDEs that collect, mine, and leverage the interactions of developers to support and simplify their workflow. We formulate our thesis as follows: Interaction-Aware Development Environments enable novel and in-depth analyses of the behavior of software developers and set the ground to provide developers with effective and actionable support for their activities inside the IDE. For example, by monitoring how developers navigate source code, the IDE could suggest the program entities that are potentially relevant for a particular task. Our research focuses on three main directions: 1. Modeling and Persisting Interaction Data. 2. Interpreting Interaction Data. 3. Supporting Developers with Interaction Data. Dissertation Committee: – Prof. Michele Lanza, Università della Svizzera italiana, Switzerland (Research Advisor) – Dr. Andrea Mocci, Università della Svizzera italiana, Switzerland (Research Co-Advisor) – Prof. Matthias Hauswirth, Università della Svizzera italiana, Switzerland (Internal Member) – Prof. Cesare Pautasso, Università della Svizzera italiana, Switzerland (Internal Member) – Prof. Serge Demeyer, University of Antwerp, Belgium (External Member) – Prof. Radu Marinescu, University of Timisoara, Romania (External Member)

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Developers use Integrated Development Environments (IDEs) to maintain and evolve software systems. IDEs facilitate development activities such as navigating, reading, understanding, and writing source code. Development activities are composed of many basic events, such as browsing the source code of a method or editing the body of a method. We call these actions “interaction data”. We believe that collecting, processing, and exploiting these interactions at run-time can potentially augment the productivity of developers. Our goal is to create self-adaptive IDEs: IDEs that collect, mine, and leverage the interactions of developers to better support the developers’ workflow. We envision a development environment that automatically and seamlessly adapts itself to support developers while maintaining and evolving software systems. To reach our goal, we will develop means to reshape the user interface of the IDE, interaction-based recommenders, and integrate live and adaptive visualizations inside the IDE. As a first step towards our vision, we have developed DFlow, a tool that non-intrusively records all IDE interactions while a developer is programming. At the moment DFlow collects all the interactions between the developer and the IDE, and enables retrospective analysis by means of software visualizations.

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