Interactive visualization of Java programs

Gestwicki, Paul; Jayaraman, Bharat

doi:10.1109/hcc.2002.1046375

Cited by 22 publications

(30 citation statements)

References 6 publications

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“…This work considerably extends our previous work in interactive visual execution of Java. Our earlier work [Gestwicki and Jayaraman 2002] served as a proof of concept that a modified contour model of execution can be used to visualize Java execution, and furthermore that such a model supports interactive execution (forward and reverse stepping through execution states). This earlier model was based on a source-code transformation that converts an arbitrary Java program into a self-visualizing Java program.…”

Section: Related Workmentioning

confidence: 99%

“…We have explored the use of source-code transformation in order to produce visual representations of the runtime state in previous visualization tools [Gestwicki and Jayaraman 2002]. This model is difficult to maintain for a growing language such as Java.…”

Section: Two-process Architecturementioning

confidence: 99%

“…In our earlier work, we showed that an extension of the contour model [Johnston 1971] provides a clear depiction of the execution of object-oriented programs [Gestwicki and Jayaraman 2002;Jayaraman and Baltus 1996]. Contour diagrams were introduced for understanding recursion and scope rules in statically-scoped procedural programming languages such as Algol and Pascal.…”

Section: Multiple Views Of Executionmentioning

confidence: 99%

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Methodology and architecture of JIVE

Gestwicki

Jayaraman

2005

Proceedings of the 2005 ACM Symposium on Software Visualization

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A novel approach to the runtime visualization and analysis of object-oriented programs is presented and illustrated through a prototype system called JIVE: J ava I nteractive V isualization E nvironment. The main contributions of JIVE are: multiple concurrent representations of program state and execution history; support for forward and reverse execution; and graphical queries over program execution. This model facilitates program understanding and interactive debugging. Our visualization of runtime states clarifies the important point that objects are environments of execution. The history of object interaction is displayed via sequence diagrams, and in this way we help close the loop between design-time and run-time representations. Interactive execution is made possible by maintaining a runtime history database, which may be queried for information on variable behavior, method executions, and object interactions. We illustrate the capabilities of this system through examples. JIVE is implemented using the Java Platform Debugger Architecture and supports the Java language and libraries, including multithreaded and GUI applications.

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Section: Related Workmentioning

confidence: 99%

Section: Two-process Architecturementioning

confidence: 99%

Section: Multiple Views Of Executionmentioning

confidence: 99%

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Methodology and architecture of JIVE

Gestwicki

Jayaraman

2005

Proceedings of the 2005 ACM Symposium on Software Visualization

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“…JavaVis [20] is a PV tool developed to visualize the execution of program code through the object and sequence diagram. JIVE [21] has a characteristic of code highlighting and visualizes the object structure and the calling sequence of methods. BlueJ [22] is a static PV tool has a class view showing relations between classes and an object dock containing all initialized objects.…”

Section: Research Backgroundmentioning

confidence: 99%

Development of Hardware-Interfacing Learning Kit for Novice Learning Programming

Derus¹,

Ali²

2016

IJIET

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Abstract-Visualization tool has been proven useful in enhancing novice programmer's learning. Despite the large number of studies performed on visualization tools, it appears to be very few using it to assist students in understanding the fundamental concept of hardware software interfacing programming. Therefore, in this study, a program visualization (PV) kit was developed with the main objective is as a practical hands-on learning kit for novice in exploring and gaining basic skills of hardware software interfacing in visual environment. The ADDIE instructional design model was utilized in the design process; which consists of five principal phases namely, analysis, design, development, implementation and evaluation. The development processes was grounded on Cognitive Load Theory, Models of Human Memory and educational principles to ensure the maximum effectiveness of learning. The PV kit consist hardware visualization and software visualization. The hardware visualization is an external device that can be connected to the USB port, where the learners can visualize the input and output result from the task stimulated by the software. The software visualization contains main learning activities that have been organized from simple to complex tasks. It is expected that the PV kit could be benefited by the students in developing the basic skills of hardware software interfacing programming.Index Terms-Hardware software interfacing, instructional, programming, visualization.

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“…It usually displays all information stored on a program in a debug-like manner. Jeliot 3 [15], JIVE [16], VILLE [17], and PythonTutor [18] are several examples which fall into this category.…”

Section: Related Workmentioning

confidence: 99%

A Quasi-Experimental Design to Evaluate the Use of PythonTutor on Programming Laboratory Session

Karnalim

Ayub

2018

Int. J. Onl. Eng.

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Abstract-Educational tool is one of the prominent solutions for aiding students to learn course material in Information Technology (IT) domain. However, most of them are not used in practice since they do not properly fit student necessity. This paper evaluates the impact of an educational tool, namely PythonTutor, for completing programming laboratory task regarding data structure materials. Such evaluation will be conducted in one semester by implementing a quasi-experimental design. As a result, six findings can be deducted which are: 1) PythonTutor might positively affect student performance when the students have used such tool before; 2) Sometimes, student perspective regarding the impact of educational tool is not always in-sync with actual laboratory result; 3) the impact of PythonTutor might be improved when similar data representation is used consequently for several weeks; 4) the correlation between the use of PythonTutor and student performance might not be significant when the control and intervened group share completely different characteristics; 5) the students might experience some difficulties when they are asked to handle a big task for the first time; and 6) the students might be able to complete a particular weekly task with a promising result if the students have understood the material well.

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Interactive visualization of Java programs

Cited by 22 publications

References 6 publications

Methodology and architecture of JIVE

Methodology and architecture of JIVE

Development of Hardware-Interfacing Learning Kit for Novice Learning Programming

A Quasi-Experimental Design to Evaluate the Use of PythonTutor on Programming Laboratory Session

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