PHalstead

PHalstead is a tool to get Halstead's measures in parallel applications. Halstead evaluates applications based on the numbers of operators and operands (tokens) in the code:

• n1: number of operators
• n2: number of operands
• N1: total occurrence of operatos
• N2: total occurrence of operands

Based on the number of tokens the following metrics are measured:

• Program length
• Program vocabulary
• Program volume in bits
• Programming difficulty
• Development effort
• Development time in seconds
• Development time in hours

The currently version allows the analysis of C++ code parallelized using the following parallel programming models:

• Intel TBB
• FastFlow
• GrPPI
• SPar

In addition, the currently version allows the analysis of Java code parallelized using the following parallel programming models:

• Flink
• Storm

How to install:

Python package is required to use PHalstead

• Tested on python3

How to cite:

• G. Andrade, D. Griebler, R. Santos, C. Kessler, A. Ernstsson, L. G. Fernandez "Analyzing Programming Effort Model Accuracy of High-Level Parallel Programs for Stream Processing." 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE, 2022.

How to run:

python3 parallel-halstead.py --api API file.cpp

Ex: python3 parallel-halstead.py --api spar src/spar_video.cpp

or

python3 parallel-halstead.py -h for more info