To address the issue of insufficient testing caused by the continuous reduction of software
development cycles, many organizations maintain bug repositories and bug tracking …

Many machine learning methods have been applied for short messaging service (SMS)
spam detection, including traditional methods such as naïve Bayes (NB), vector space …

Duplicate bug report detection is a process of finding a duplicate bug report in the bug
tracking system. This process is essential to avoid unnecessary work and rediscovery. In …

Recent studies have shown that high-quality code semantics learning can effectively
improve the performance of code clone detection. However, existing approaches suffer from …

Context: Users and developers use bug tracking systems to report errors that occur during
the development and testing of software. The manual identification of duplicates is a tedious …

Short message service (SMS) is a most favored communication service people use in daily
life. However, this service is being misused by spammers. Rule based systems (RBS) and …

Context The severity of a bug is often used as an indicator of how a bug negatively affects
system functionality. It is used by developers to prioritize bugs which need to be fixed. The …

Context: Inappropriate public disclosure of security bug reports (SBRs) is likely to attract
malicious attackers to invade software systems; hence being able to detect SBRs has …

Duplicate bug reports often exist in bug tracking systems (BTSs). Almost all the existing
approaches for automatically detecting duplicate bug reports are based on text similarity. A …

Context There are many duplicate bug reports in the semi-structured software repository of
various software bug triage systems. The duplicate bug report detection (DBRD) process is a …