CODE ANALYSES USING

NATURAL LANGUAGE

QUESTIONS

Software Composition Seminar

Student: Michael Zbinden

Supervisor: Pooja Rani

29. May 2018

Problem

• Huge code base

• Finding classes

• Example: What are the deprecated classes?

2

Tools Support

• IntelliJ Search

3

Tools Support

• Eclipse Search

4

Moose

5

Visualize code in Moose

6

Software Representation

7

Challenges

• Learn about tool

• Know the meta-model

• Learn query language

• Barrier

8

Solution

• Smalltalk Code

• Use Natural Language

9

Generate Code

• Python experiment

10

About Paper

• Translation problem

• Accuracy

• Neural network model

• Model adoption

11

Tools used

• Framework: Theano

• Library: NLTK

• AST: astor

• Language: Python

12

Paper

13

Challenges in Running Model

• Complex neural network

• Lots of components

• Running Code

• Dataset available for python

14

Findings

• Difficult to prepare dataset

• Creating neural network

• Neural Network libraries

• NLP library

15

Learning challenges

• Learning about moose

• Creating a simple query

• Analyzing complex neural network

• Python Dependency

16

Future work

• Prepare dataset

• Decoupling Code

• Adapt classes for other datasets

17