4th International Conference on Principles and Practices ... - MADOC

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Figure 6: Investigation of initial runtime compilation activity for different adaptive configurations. Top graph is for default compilation strategy, i.e. use baseline before optimizing compiler. Bottom graph is for optimizing compilation strategy, i.e. use optimizing compiler whenever possible. Figure 7: Investigation of later runtime compilation activity for different adaptive configurations. (Same configurations as in previous figure.) 37
to the same category—again, this is a disguised concept! Their tool builds on the work of Jinsight [17] which creates a database for a Java program execution trace. Whereas Jinsight only operates on typical object-oriented structures like classes and methods, the tool by Sevitsky et al handles compound execution slices. Again, our instrumentation is at a finer granularity. Our system also does not specify how concepts are assigned. They allow manual selection or automatic selection based on attribute values—for instance, method invocations may be characterized as slow, medium or fast based on their execution times. Eng [8] presents a system for representing static and dynamic analysis information in an XML document framework. All Java source code entities are represented, and may be tagged with analysis results. This could be used for static representation of concept information, but it is not clear how the information could be extracted at runtime for the dynamic execution trace. Other Java visualization research projects (for example, [6, 12]) instrument JVMs to dump out low-level dynamic execution information. However they have no facility for dealing with higher-level concept information. In principle it would be possible to reconstruct concept information from the lower-level traces in a postprocessing stage, but this would cause unnecessarily complication, inefficiency and potential inaccuracy. 6. CONCLUDING REMARKS Until now, concepts have been a compile-time feature. They have been used for static analysis and program comprehension. This work has driven concept information through the compilation process from source code to dynamic execution trace, and made use of the concept information in dynamic analyses. This follows the recent trend of retaining compile-time information until execution time. Consider typed assembly language, for instance [14]. Feedback-directed concept assignment is the process of (1) selecting concepts, (2) assigning concepts to source code, (3) running the program, (4) checking results from dynamic analysis of concepts and (5) using this information to repeat step (1)! This is similar to feedback-directed (or profileguided) compilation. In effect, this is how we made the decision to examine both baseline and optimizing compilers in Section 4.2 rather than just optimizing compiler as in Section 4.1. The process could be entirely automated, with sufficient tool support. With regard to future work, we should incorporate these analyses and visualizations into an integrated development environment such as Eclipse. Further experience reports would be helpful, as we conduct more investigations with these tools. The addition of timestamps information to the phases visualization (Section 3.3) would make the comparison of different runs easier. We need to formulate other dynamic analyses in addition to concept proportions and phases. One possibility is concept hotness, which would record how the execution profile changes over time, with more or less time being spent executing different concepts. This kind of information is readily available for methodlevel analysis in Jikes RVM, but no-one has extended it to higher-level abstractions. 7. ACKNOWLEDGEMENTS The first author is employed as a research associate on the Jamaica project, which is funded by the EPSRC Portfolio Award GR/S61270. The small Java program described in Section 3 was written by Gavin Brown. We thank him for allowing us to analyse his program and report on the results. Finally we thank the conference referees for their thoughtful and helpful feedback on this paper. 8. REFERENCES [1] 2005. Kcachegrind profiling visualization, Josef Weidendorfer. see kcachegrind.sourceforge.net for details. [2] B. Alpern, S. Augart, S. Blackburn, M. Butrico, A. Cocchi, P. Cheng, J. Dolby, S. Fink, D. Grove, M. Hind, et al. The Jikes research virtual machine project: building an open-source research community. IBM Systems Journal, 44(2):399–417, 2005. [3] A. Azevedo, A. Nicolau, and J. Hummel. Java annotation-aware just-in-time (AJIT) compilation system. In Proceedings of the ACM 1999 <strong>Conference</strong> on Java Grande, pages 142–151, 1999. [4] T. Biggerstaff, B. Mitbander, and D. Webster. Program understanding and the concept assignment problem. Communications of the ACM, 37(5):72–82, 1994. [5] R. H. F. Brown and R. N. Horspool. Object-specific redundancy elimination techniques. In Proceedings of Workshop on Implementation, Compilation, Optimization of Object-Oriented Languages, Programs and Systems, 2006. [6] P. Dourish and J. Byttner. A visual virtual machine for Java programs: exploration and early experiences. In Proceedings of the ICDMS Workshop on Visual Computing, 2002. [7] E. Duesterwald, C. Cascaval, and S. Dwarkadas. Characterizing and predicting program behavior and its variability. In Proceedings of the 12th <strong>International</strong> <strong>Conference</strong> on Parallel Architectures and Compilation Techniques, pages 220–231, 2003. [8] D. Eng. Combining static and dynamic data in code visualization. In Proceedings of the 2002 ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, pages 43–50, 2002. [9] A. Georges, D. Buytaert, L. Eeckhout, and K. De Bosschere. Method-level phase behavior in Java workloads. Proceedings of the 19th ACM SIGPLAN <strong>Conference</strong> on Object-Oriented Programming, Systems, Languages, and Applications, pages 270–287, 2004. 38
Page 1 and 2: Edited by: Ralf Gitzel, Markus Alek
Page 3 and 4: Message from the Chairs Dear confer
Page 5 and 6: Sam Midkiff, Purdue University (USA
Page 7 and 8: Session F: Novel Uses of Java______
Page 10 and 11: The Project Maxwell Assembler Syste
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Page 14 and 15: memory address offset mnemonic argu
Page 16 and 17: 5.2 Instruction Templates The assem
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Page 20 and 21: Tatoo: an innovative parser generat
Page 22 and 23: In the grammar file an error termin
Page 24 and 25: Figure 3: Push parsers and lexers L
Page 26 and 27: eturn visit((Expr)p1, param); } R v
Page 28: Session B Program and Performance A
Page 31 and 32: Table 1: Use of interfaces and deco
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Page 37 and 38: Appendix A 10 9 8 7 6 5 4 3 2 1 0 1
Page 39 and 40: Throughout this paper, we make no a
Page 41 and 42: instrumented program and obtained t
Page 43: Figure 5: Investigation of garbage
Page 47 and 48: Investigating Throughput Degradatio
Page 49 and 50: Figure 1: Apache. Throughput degrad
Page 51 and 52: Minor GC Full GC Workload # of Avg.
Page 53 and 54: Figure 6: Comparing memory and pagi
Page 55 and 56: GenRC on the other hand, allows the
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Page 61 and 62: ing a continuous buffer for raw dat
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Page 65 and 66: public class StreamingClient { publ
Page 67 and 68: importance of β in our aggregation
Page 69 and 70: Enabling Java Mobile Computing on t
Page 71 and 72: A strongly mobile thread has the ab
Page 73 and 74: a context switch occur. The invoked
Page 75 and 76: above phases. Now, the new stack ha
Page 77 and 78: 5 frames 15 frames 25 frames Pure d
Page 79 and 80: Juxta-Cat: A JXTA-based platform fo
Page 81 and 82: Figure 1: JXTA Architecture. 3. JUX
Page 83 and 84: • Send a discovery query to the p
Page 85 and 86: The best candidate is then the one
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Page 90: Session D Resource and Object Manag
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As pictured in Figure 4, JDOSecure
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Methods of a PersistenceManager, th
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Datenmodell abstrahiert user role,
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An Extensible Mechanism for Long-Te
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missing object references in the de
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4.2 Mapping the name spaces of the
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(a) (b) ColorSliderPanel0 color
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8. REFERENCES [1] Abu-Ghazaleh, N.,
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permission by process. In other wor
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The processor then refers to the en
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1: // Protection domain 2: struct p
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Table 3: Frequency of JNI calls tha
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[13] Intel Corporation. IA-32 Intel
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01 try { 02 ... 03 } finally { 04 t
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2. FRAMEWORK The Framework for Unif
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ManagedInputStream ResourceGroup Ma
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18. throw ‡ 1. release 17. cleanu
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3. FUTURE WORK The ability to split
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124
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UML sequence diagrams are among the
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diagrams, and behavioral (dynamic)
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the official scripting language for
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Apache's XML Graphics Project. A cu
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Java Debug Interface (JDI). In Revi
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1.3 JML 1.3.1 Overview JML, the Jav
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The Usage of CANAPA is fairly strai
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*@non_null@*/ String str = attribut
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142
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parallel and distributed versions o
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RingElem CextendsRingElem GenPolyno
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RingElem +isZERO():bolean CextendsR
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class constructors with the actual
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plemented via a distributed hash ta
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which are common nowadays. The reus
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Derivative Contract Component Repos
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stepwise execution create Derivativ
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5.4.1 Structural Constraints Struct
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into the conceptual foundation of n
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different implementation and is mor
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the service from the root. It allow
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model: 1. Servlet [6] adapter compo
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y possibly different service, where
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or the fact that widgets extend ser
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174
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The idea of Java 5.0 type inference
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Source := (class | interface)∗ cl
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5. IMPLEMENTATION In order to prese
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Infinite Streams in Java Dominik Gr
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} private static LinkedStream fibon
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of the f stream in order to compute
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Interaction among Objects via Roles
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(a) (b) (c) (d) (e) Figure 1: The p
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class Printer { private int totalPr
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Experiences of using the Dagstuhl M
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Metric Definition Java .class files
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scription of the metric values. Non
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Figure 1: Results from the J-vestig
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an error is subsequently generated
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3. BASIC TERMINOLOGY As object-orie
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• subtyping • (implementation)
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Improving the Quality of Programmin
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Results of online checks (shortened
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212
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Experiences With Hierarchy-Based Co
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Sub View Child DataField 0..n Ke
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Figure 8 - Actual State Charts elem
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associations, which may result in r
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M3PS: A Multi-Platform P2P System B
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In following, we will explain in de
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Figure 10. JDP in Windows XP. Figur
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Mapping Clouds of SOA- and Business
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the technical SOA events (from the
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component and the business process
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Figure 13. “Business Value of Dat
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Solaris of SUN. This platform provi
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status change of an application is
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coming up, is presently discussing
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ISBN: 3-939352-05-5 ISBN: 978-3-939
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