English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Just-In-Time defect prediction (JIT-DP) models can identify defect-inducingcommits at check-in time. Even though previous studies have achieved a greatprogress, these studies still have the following limitations: 1) usefulinformation (e.g., semantic information and structure information) are notfully used; 2) existing work can only predict a commit as buggy one or cleanone without more information about what type of defect it is; 3) a commit mayinvolve changes in many files, which cause difficulty in locating the defect;4) prior studies treat defect identification and defect repair as separatetasks, none aims to handle both tasks simultaneously. In this paper, to handleaforementioned limitations, we propose a comprehensive defect prediction andrepair framework named CompDefect, which can identify whether a changedfunction (a more fine-grained level) is defect-prone, categorize the type ofdefect, and repair such a defect automatically if it falls into severalscenarios, e.g., defects with single statement fixes, or those that match asmall set of defect templates. Generally, the first two tasks in CompDefect aretreated as a multiclass classification task, while the last one is treated as asequence generation task. The whole input of CompDefect consists of three parts(exampled with positive functions): the clean version of a function (i.e., theversion before defect introduced), the buggy version of a function and thefixed version of a function. In multiclass classification task, CompDefectcategorizes the type of defect via multiclass classification with theinformation in both the clean version and the buggy version. In code sequencegeneration task, CompDefect repairs the defect once identified or keeps itunchanged.

Defect Identification, Categorization, and Repair: Better Together