summary 16--27

Posted 2020-11-16 enshengshi

1. Paper Reading

$ lfloor ab/p floor p$

我是根据ICSE2019schedule上的不同方向的论文来读的，打算一个主题读一篇来确定方向。
目前读的是 Automated Program Repair 方向的
Learning to Spot and Refactor Inconsistent Method Names。

• Problem definition: Spot and Refactor inconsistent method name. ( method has already implemented including method name and method body.)
• Background

1. Paragraph vector: use it to compute similarities among the method name .
2. CNNS: use it to identify similar method body .
3. Word2Vec : embedding the token of method body.

• Our method:
  
  Unsupervised learning
  There are two phase in these method-- training and identification & suggestion.

a. Training phase takes tokens of method name and method body in the training set to produce two vector space--method name vector space and Method name space.

b. Inconsistency Identification
Given a method , they take a set of adjacent vectors for its name( (n_i)) and body ((b_i)) respectively (denoted (adj(n_i)) and (adj(b_i)))
adjacency is measured by cosine similarity.
when [method name of ((adj(n_i)))] (igcap) [method name of ((adj(b_i))) ] = (emptyset) ， it is inconsistent.
To capture the similar behavior rather than the same name ,they relax the condition of consistency to take the first sub-token of each method name instead of comparing full method name,
when [first sub-token of method name of ((adj(n_i)))] (igcap) [ first sub-token of method name of ((adj(b_i))) ] = (emptyset) ， it is inconsistent.

b. suggestion is to select new name in the set of method name of(adj((b_i))) according to some ranking strategies.