As the scale and complexity of software products increase, software maintenance on bug resolution has become a challenging work. In the process of software implementation, developers often use bug reports, source code and change history to help solve bugs. However, hundreds of bug reports are being submitted every day. It is time-consuming and effortless for developers to review all the bug rep...

Bug prediction is a technique used to estimate the most bug-prone entities in software systems. Bug prediction approaches vary in many design options, such as dependent variables, independent variables, and machine learning models. Choosing the right combination of design options to build an e↵ective bug predictor is hard. Previous studies do not consider this complexity and draw conclusions ba...

The Web has become an important knowledge source for resolving system installation problems and for working around software bugs. In particular, web-based bug tracking systems offer large archives of useful troubleshooting advice. However, searching bug tracking systems can be time consuming since generic search engines do not take advantage of the semi-structured knowledge recorded in bug trac...

Developers often spend much effort and resources to debug a program. To help the developers debug, numerous information retrieval (IR)-based and spectrum-based bug localization techniques have been devised. IR-based techniques process textual information in bug reports, while spectrum-based techniques process program spectra (i.e., a record of which program elements are executed for each test c...

The bed bug, (Cimex lectularius L.), is a difficult pest to control. Prevalence of insecticide resistance among bed bug populations and concerns over human-insecticide exposure has stimulated the development of alternative bed bug control materials. Many essential oil-based pesticides and detergent insecticides targeting bed bugs have been developed in recent years. We evaluated the efficacy of...

The bed bug, Cimex lectularius L., like other bed bug species, is difficult to visually locate because it is cryptic. Detector dogs are useful for locating bed bugs because they use olfaction rather than vision. Dogs were trained to detect the bed bug (as few as one adult male or female) and viable bed bug eggs (five, collected 5-6 d after feeding) by using a modified food and verbal reward sys...

Developers need to reason about data in bug reports to diagnose problems and compare proposed solutions. Current bug tracking systems’ interfaces, however, collect and present data as a conversation. Previous work shows that this hinders the ability of users to consult, reason, and analyze information important to resolve bugs. This work implements BugBot, a bug tracking system that eliminates ...

it is often difficult to estimate the resources needed to plan for bug fixing activities in software development projects. Security bug fixes are commonly implemented as patches in response to emergent common vulnerability and exposure (CVE) reports. In this paper we investigate how to plan for bug fixing, and whether security related bug fixes are different from other bugs. In a preprocessing ...

Empirical studies indicate that automating the bug assignment process has the potential to significantly reduce software evolution effort and costs. Prior work has used machine learning techniques to automate bug assignment but has employed a narrow band of tools which can be ineffective in large, longlived software projects. To redress this situation, in this paper we employ a comprehensive se...

A significant percentage of software bugs reported during test cycles falls in a category of Invalid bug reports also known as rejected bugs. This research presents the actual percentage of bugs rejection based on data collected from bug tracking system. This paper provides a list of reasons behind bug rejection, their relation with severity level and possible threats that can affect software t...