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Volume 29, Issue 2April 2020
Editor:
  • Mauro Pezzè
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
ISSN:1049-331X
EISSN:1557-7392
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editorial
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Editorial
Article No.: 8e, Page 1https://doi.org/10.1145/3383775
research-article
Open Access
Assessing and Improving Malware Detection Sustainability through App Evolution Studies
Article No.: 8, Pages 1–28https://doi.org/10.1145/3371924

Machine learning–based classification dominates current malware detection approaches for Android. However, due to the evolution of both the Android platform and its user apps, existing such techniques are widely limited by their reliance on new malware ...

research-article
Public Access
Visualizing Distributed System Executions
Article No.: 9, Pages 1–38https://doi.org/10.1145/3375633

Distributed systems pose unique challenges for software developers. Understanding the system’s communication topology and reasoning about concurrent activities of system hosts can be difficult. The standard approach, analyzing system logs, can be a ...

research-article
Public Access
Quality Indicators in Search-based Software Engineering: An Empirical Evaluation
Article No.: 10, Pages 1–29https://doi.org/10.1145/3375636

Search-Based Software Engineering (SBSE) researchers who apply multi-objective search algorithms (MOSAs) often assess the quality of solutions produced by MOSAs with one or more quality indicators (QIs). However, SBSE lacks evidence providing insights ...

research-article
Practical Constraint Solving for Generating System Test Data
Article No.: 11, Pages 1–48https://doi.org/10.1145/3381032

The ability to generate test data is often a necessary prerequisite for automated software testing. For the generated data to be fit for their intended purpose, the data usually have to satisfy various logical constraints. When testing is performed at a ...

research-article
A Defect Estimator for Source Code: Linking Defect Reports with Programming Constructs Usage Metrics
Article No.: 12, Pages 1–35https://doi.org/10.1145/3384517

An important issue faced during software development is to identify defects and the properties of those defects, if found, in a given source file. Determining defectiveness of source code assumes significance due to its implications on software ...

research-article
Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution
Article No.: 13, Pages 1–24https://doi.org/10.1145/3385187

Many software services today are hosted on cloud computing platforms, such as Amazon EC2, due to many benefits like reduced operational costs. However, node failures in these platforms can impact the availability of their hosted services and potentially ...

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