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IIAG: a data-driven and theory-inspired approach for advising how to interact with new remote collaborators in OSS teams

期刊: AUTOMATED SOFTWARE ENGINEERING, 2021; 28 (2)

Open source software development (OSS) team members often need to figure out how to initiate a collaboration with a new remote collaborator. An inappr......

Cost-aware scheduling for ensuring software performance and reliability under heterogeneous workloads of hybrid cloud

期刊: AUTOMATED SOFTWARE ENGINEERING, 2019; 26 (1)

Cloud computing is a rapidly growing paradigm in software engineering that offers different services. The hybrid cloud is the best choice for the ente......

JIF:2.2

Automatic, highly accurate app permission recommendation

期刊: AUTOMATED SOFTWARE ENGINEERING, 2019; 26 (2)

To ensure security and privacy, Android employs a permission mechanism which requires developers to explicitly declare the permissions needed by their......

JIF:2.2

Enhance code search via reformulating queries with evolving contexts

期刊: AUTOMATED SOFTWARE ENGINEERING, 2019; 26 (4)

To improve code search, many query expansion (QE) approaches use APIs or crowd knowledge for expanding a query. However, these approaches may sometime......

JIF:2.2

Heterogeneous defect prediction with two-stage ensemble learning

期刊: AUTOMATED SOFTWARE ENGINEERING, 2019; 26 (3)

Heterogeneous defect prediction (HDP) refers to predicting defect-prone software modules in one project (target) using heterogeneous data collected fr......

JIF:2.2

DCTracVis: a system retrieving and visualizing traceability links between source code and documentation

期刊: AUTOMATED SOFTWARE ENGINEERING, 2018; 25 (4)

It is well recognized that traceability links between software artifacts provide crucial support in comprehension, efficient development, and effectiv......

JIF:2.2

FastTagRec: fast tag recommendation for software information sites

期刊: AUTOMATED SOFTWARE ENGINEERING, 2018; 25 (4)

Software information sites such as StackOverflow and Freeecode enable information sharing and communication for developers around the world. To facili......

JIF:2.2

Automatic approval prediction for software enhancement requests

期刊: AUTOMATED SOFTWARE ENGINEERING, 2018; 25 (2)

Software applications often receive a large number of enhancement requests that suggest developers to fulfill additional functions. Such requests are ......

JIF:2.2

Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction

期刊: AUTOMATED SOFTWARE ENGINEERING, 2018; 25 (2)

Cross-project defect prediction (CPDP) refers to predicting defects in a target project using prediction models trained from historical data of other ......

JIF:2.2

Efficient QoS aware two-layer service allocation in hybrid mobile cloud

期刊: AUTOMATED SOFTWARE ENGINEERING, 2018; 25 (3)

The paper proposes QoS based service allocation optimization in hybrid mobile cloud. The optimization formulation of the hybrid mobile cloud utility a......

JIF:2.2

Rule-based specification mining leveraging learning to rank

期刊: AUTOMATED SOFTWARE ENGINEERING, 2018; 25 (3)

Software systems are often released without formal specifications. To deal with the problem of lack of and outdated specifications, rule-based specifi......

JIF:2.2

Label propagation based semi-supervised learning for software defect prediction

期刊: AUTOMATED SOFTWARE ENGINEERING, 2017; 24 (1)

Software defect prediction can automatically predict defect-prone software modules for efficient software test in software engineering. When the previ......

JIF:1.81

Experience report on applying software analytics in incident management of online service

期刊: AUTOMATED SOFTWARE ENGINEERING, 2017; 24 (4)

As online services become more and more popular, incident management has become a critical task that aims to minimize the service downtime and to ensu......

JIF:1.81

An effective change recommendation approach for supplementary bug fixes

期刊: AUTOMATED SOFTWARE ENGINEERING, 2017; 24 (2)

Bug fixing is one of the most important activities during software development and maintenance. A substantial number of bugs are often fixed more than......

JIF:1.81

Understanding the value of considering client usage context in package cohesion for fault-proneness prediction

期刊: AUTOMATED SOFTWARE ENGINEERING, 2017; 24 (2)

By far, many package cohesion metrics have been proposed from internal structure view and external usage view. Based on whether client usage context (......

JIF:1.81

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