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Dynamic Analysis of Software Systems using Execution Pattern Mining
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.4360070105openalex-snapshot
Software reconnaissance: Mapping program features to code
inferredcites →https://doi.org/10.1109/csmr.2004.1281435openalex-snapshot
Managing trace data volume through a heuristical clustering process based on event execution frequency
inferredcites →https://doi.org/10.1109/csmr.2005.12openalex-snapshot
Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process
inferredcites →https://doi.org/10.1109/csmr.2005.46openalex-snapshot
Recovering Behavioral Design Models from Execution Traces
inferredcites →https://doi.org/10.1109/icsm.1999.792487openalex-snapshot
Recovering high-level views of object-oriented applications from static and dynamic information
inferredcites →https://doi.org/10.1109/tse.2003.1183929openalex-snapshot
Locating features in source code
inferredcites →https://doi.org/10.1109/wcre.1995.514713openalex-snapshot
Recognizers for extracting architectural features from source code
inferredcites →https://doi.org/10.1109/wpc.2005.35openalex-snapshot
System Evolution Tracking through Execution Trace Analysis
inferredcites →https://doi.org/10.1145/568760.568837openalex-snapshot
Recovering software requirements from system-user interaction traces
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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SCAN: an approach to label and relate execution trace segments
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Feature location in source code: a taxonomy and survey
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A top‐down approach to construct execution views of a large software‐intensive system
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Two Phase Approach to Detection of Software Projects with Similar Architecture Based on Clustering and Ontological Methods
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Software execution processes as an evolving complex network☆
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Learning extended FSA from software: An empirical assessment
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Adapting system execution traces to support analysis of software system performance properties
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Utilizing Debug Information to Compact Loops in Large Program Traces
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Pattern Recognition Techniques Applied to the Abstraction of Traces of Inter-Process Communication
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Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network
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Towards Adapting System Execution Traces for Validation of Enterprise Distributed System QoS Properties
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Towards Succinctness in Mining Scenario-Based Specifications
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Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
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Adapting System Execution Traces for Validation of Distributed System QoS Properties
inferred← citeshttps://doi.org/10.1109/isorc.2013.6913203openalex-snapshot
Auto-constructing dataflow models from system execution traces
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Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference
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The System of Searching Similar Software Projects, Based on the Ontology Constructed by UML Metascheme and Design Patterns
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PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events
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A Systematic Survey of Program Comprehension through Dynamic Analysis
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Program Behavior Discovery and Verification: A Graph Grammar Approach
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GK-Tail+ An Efficient Approach to Learn Software Models
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Service Candidate Identification from Monolithic Systems Based on Execution Traces
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Development and Specification of a Reference Model for Agent-Based Systems
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Analyzing the Actual Execution of a Large Software-Intensive System for Determining Dependencies
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Mining Quantified Temporal Rules: Formalism, Algorithms, and Evaluation
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Supporting Feature-Level Software Maintenance
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SCAN: An Approach to Label and Relate Execution Trace Segments
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Improving SOA antipatterns detection in Service Based Systems by mining execution traces
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Scenario-based and value-based specification mining
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Mining message sequence graphs
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Specification mining in concurrent and distributed systems
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Specification mining in concurrent and distributed systems
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Assessing an architecture's ability to support feature evolution
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Automatic API Usage Scenario Documentation from Technical Q&A Sites
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An Approach to Determining Software Projects with Similar Functionality and Architecture Process Based on Artificial Intelligence Methods
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Methodology for Reverse Engineering of Machine Code. Part 3. Dynamic Investigation and Documentation
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Non-Intrusive Adaptation of System Execution Traces for Performance Analysis of Software Systems
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Recovering and checking software architectural properties based on execution tree analysis
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Recovering traceability links between artifacts of software variants in the context of software product line engineering
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Aspect mining on real legacy code, applying three dynamic analysis techniques
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