Compact visualization of Java program execution

Summary The context of this work is a practical, open‐source visualization system, called JIVE, that supports two forms of runtime visualizations of Java programs – object diagrams and sequence diagrams. They capture, respectively, the current execution state and execution history of a Java program....

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Veröffentlicht in:	Software, practice & experience Jg. 47; H. 2; S. 163 - 191
Hauptverfasser:	Jayaraman, S., Jayaraman, B., Lessa, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 01.02.2017
Schlagworte:	Algorithms Compacting Decisions exclusion filters experimental results horizontal and vertical compaction Java (programming language) Labels multi‐threaded execution out‐of‐model calls regular‐expression labels Run time (computers) sequence diagrams Source code tandem repeats Visualization visualization of Java program execution
ISSN:	0038-0644, 1097-024X
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Abstract	Summary The context of this work is a practical, open‐source visualization system, called JIVE, that supports two forms of runtime visualizations of Java programs – object diagrams and sequence diagrams. They capture, respectively, the current execution state and execution history of a Java program. These diagrams are similar to those found in the UML for specifying design–time decisions. In our work, we construct these diagrams at execution time, thereby ensuring continuity of notation from design to execution. In so doing, a few extensions to the UML notation are proposed in order to better represent runtime behavior. As sequence diagrams can become long and unwieldy, we present techniques for their compact representation. A key result in this paper is a novel labeling scheme based upon regular expressions to compactly represent long sequences and an O(r2) algorithm for computing these labels, where r is the length of the input sequence, based upon the concept of ‘tandem repeats’ in a sequence. Horizontal compaction greatly helps minimize the extent of white space in sequence diagrams by the elimination of object lifelines and also by grouping lifelines together. We propose a novel extension to the sequence diagram to deal with out‐of‐model calls when the lifelines of certain classes of objects are filtered out of the visualization, but method calls may occur between in‐model and out‐of‐model calls. The paper also presents compaction techniques for multi‐threaded Java execution with different forms of synchronization. Finally, we present experimental results from compacting the runtime visualizations of a variety of Java programs and execution trace sizes in order to demonstrate the practicality and efficacy of our techniques. Copyright © 2016 John Wiley & Sons, Ltd.
AbstractList	The context of this work is a practical, open-source visualization system, called JIVE, that supports two forms of runtime visualizations of Java programs - object diagrams and sequence diagrams. They capture, respectively, the current execution state and execution history of a Java program. These diagrams are similar to those found in the UML for specifying design-time decisions. In our work, we construct these diagrams at execution time, thereby ensuring continuity of notation from design to execution. In so doing, a few extensions to the UML notation are proposed in order to better represent runtime behavior. As sequence diagrams can become long and unwieldy, we present techniques for their compact representation. A key result in this paper is a novel labeling scheme based upon regular expressions to compactly represent long sequences and an O(r super(2)) algorithm for computing these labels, where r is the length of the input sequence, based upon the concept of 'tandem repeats' in a sequence. Horizontal compaction greatly helps minimize the extent of white space in sequence diagrams by the elimination of object lifelines and also by grouping lifelines together. We propose a novel extension to the sequence diagram to deal with out-of-model calls when the lifelines of certain classes of objects are filtered out of the visualization, but method calls may occur between in-model and out-of-model calls. The paper also presents compaction techniques for multi-threaded Java execution with different forms of synchronization. Finally, we present experimental results from compacting the runtime visualizations of a variety of Java programs and execution trace sizes in order to demonstrate the practicality and efficacy of our techniques. Summary The context of this work is a practical, open-source visualization system, called JIVE, that supports two forms of runtime visualizations of Java programs - object diagrams and sequence diagrams. They capture, respectively, the current execution state and execution history of a Java program. These diagrams are similar to those found in the UML for specifying design-time decisions. In our work, we construct these diagrams at execution time, thereby ensuring continuity of notation from design to execution. In so doing, a few extensions to the UML notation are proposed in order to better represent runtime behavior. As sequence diagrams can become long and unwieldy, we present techniques for their compact representation. A key result in this paper is a novel labeling scheme based upon regular expressions to compactly represent long sequences and an O(r2) algorithm for computing these labels, where r is the length of the input sequence, based upon the concept of 'tandem repeats' in a sequence. Horizontal compaction greatly helps minimize the extent of white space in sequence diagrams by the elimination of object lifelines and also by grouping lifelines together. We propose a novel extension to the sequence diagram to deal with out-of-model calls when the lifelines of certain classes of objects are filtered out of the visualization, but method calls may occur between in-model and out-of-model calls. The paper also presents compaction techniques for multi-threaded Java execution with different forms of synchronization. Finally, we present experimental results from compacting the runtime visualizations of a variety of Java programs and execution trace sizes in order to demonstrate the practicality and efficacy of our techniques. Copyright © 2016 John Wiley & Sons, Ltd. Summary The context of this work is a practical, open‐source visualization system, called JIVE, that supports two forms of runtime visualizations of Java programs – object diagrams and sequence diagrams. They capture, respectively, the current execution state and execution history of a Java program. These diagrams are similar to those found in the UML for specifying design–time decisions. In our work, we construct these diagrams at execution time, thereby ensuring continuity of notation from design to execution. In so doing, a few extensions to the UML notation are proposed in order to better represent runtime behavior. As sequence diagrams can become long and unwieldy, we present techniques for their compact representation. A key result in this paper is a novel labeling scheme based upon regular expressions to compactly represent long sequences and an O(r2) algorithm for computing these labels, where r is the length of the input sequence, based upon the concept of ‘tandem repeats’ in a sequence. Horizontal compaction greatly helps minimize the extent of white space in sequence diagrams by the elimination of object lifelines and also by grouping lifelines together. We propose a novel extension to the sequence diagram to deal with out‐of‐model calls when the lifelines of certain classes of objects are filtered out of the visualization, but method calls may occur between in‐model and out‐of‐model calls. The paper also presents compaction techniques for multi‐threaded Java execution with different forms of synchronization. Finally, we present experimental results from compacting the runtime visualizations of a variety of Java programs and execution trace sizes in order to demonstrate the practicality and efficacy of our techniques. Copyright © 2016 John Wiley & Sons, Ltd.
Author	Jayaraman, S. Lessa, D. Jayaraman, B.
Author_xml	– sequence: 1 givenname: S. surname: Jayaraman fullname: Jayaraman, S. email: swaminathanj@am.amrita.edu organization: State University of New York at Buffalo – sequence: 2 givenname: B. surname: Jayaraman fullname: Jayaraman, B. organization: State University of New York at Buffalo – sequence: 3 givenname: D. surname: Lessa fullname: Lessa, D. organization: State University of New York at Buffalo
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Cites_doi	10.1109/IWPSE.2005.19 10.1109/VISSOF.2005.1684295 10.1145/1056018.1056032 10.1109/TSE.2006.96 10.1109/CSMR.2010.19 10.1145/2157136.2157378 10.1109/ICPC.2007.39 10.1002/smr.372 10.1109/WCRE.2010.18 10.1109/WCRE.2012.26 10.1145/1328279.1328286 10.1145/1879211.1879232 10.1109/APSEC.2013.107 10.1145/253228.253356 10.1109/2.589912 10.1109/WPC.2004.1311049 10.1109/TSE.2009.28 10.1587/transinf.E95.D.959 10.1007/3-540-45875-1_12 10.1109/CSMR.2007.54 10.1016/S0304-3975(01)00121-9
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Snippet	Summary The context of this work is a practical, open‐source visualization system, called JIVE, that supports two forms of runtime visualizations of Java... Summary The context of this work is a practical, open-source visualization system, called JIVE, that supports two forms of runtime visualizations of Java... The context of this work is a practical, open-source visualization system, called JIVE, that supports two forms of runtime visualizations of Java programs -...
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SubjectTerms	Algorithms Compacting Decisions exclusion filters experimental results horizontal and vertical compaction Java (programming language) Labels multi‐threaded execution out‐of‐model calls regular‐expression labels Run time (computers) sequence diagrams Source code tandem repeats Visualization visualization of Java program execution
Title	Compact visualization of Java program execution
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