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Development Effort Estimation in HPC

https://doi.org/10.1109/sc.2016.9

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A comparative analysis of parallel programming language complexity and performance

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4: The Knowledge Survey: A Tool for All Reasons

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Software Cost Analysis of GPU-Accelerated Aeroacoustics Simulations in C++ with OpenACC

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Simulation of bevel gear cutting with GPGPUs—performance and productivity

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Likert scales, levels of measurement and the “laws” of statistics

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A discipline for software engineering

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A pilot study to compare programming effort for two parallel programming models

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DARPA's HPCS Program: History, Models, Tools, Languages

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Chapter 5 An Environment for Conducting Families of Software Engineering Experiments

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Knowledge Surveys in General Chemistry: Confidence, Overconfidence, and Performance

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Software development cost estimation approaches — A survey

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Ginger2: an environment for computer-aided empirical software engineering

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Bayesian analysis of empirical software engineering cost models

inferredcites →https://doi.org/10.1109/esem.2009.5315990openalex-snapshot

Fitting a workflow model to captured development data

inferredcites →https://doi.org/10.1109/eurmic.2003.1231611openalex-snapshot

Collecting, integrating and analyzing software metrics and personal software process data

inferredcites →https://doi.org/10.1109/hpcsim.2013.6641450openalex-snapshot

Algorithmic skeleton library for scientific simulations: SkelGIS

inferredcites →https://doi.org/10.1109/hpcsim.2014.6903682openalex-snapshot

Development effort and performance trade-off in high-level parallel programming

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A survey on metric of software complexity

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Implementation and Performance Evaluation of XcalableMP: A Parallel Programming Language for Distributed Memory Systems

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Beyond the Personal Software Process: Metrics collection and analysis for the differently disciplined

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Productivity analysis of the UPC language

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Towards High-Level Programming of Multi-GPU Systems Using the SkelCL Library

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Searching under the Streetlight for Useful Software Analytics

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A Comparative Study of the NAS MG Benchmark across Parallel Languages and Architectures

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Parallel Programmer Productivity: A Case Study of Novice Parallel Programmers

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A Complexity Measure

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Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation

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Correlating Student Knowledge and Confidence Using a Graded Knowledge Survey to Assess Student Learning in a General Microbiology Classroom

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Combining self-reported and automatic data to improve programming effort measurement

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Application of a development time productivity metric to parallel software development

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A constrained regression technique for cocomo calibration

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A design pattern language for engineering (parallel) software

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An assessment and comparison of common software cost estimation modeling techniques

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Importance-Performance Analysis

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Software Project Management and Quality Engineering Practices for Complex, Coupled Multiphysics, Massively Parallel Computational Simulations: Lessons Learned From ASCI

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A Framework for Measuring Supercomputer Productivity

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Measuring High Performance Computing Productivity

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High Performance Computing Productivity Model Synthesis

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The Use of a Knowledge Survey as an Indicator of Student Learning in an Introductory Biology Course

inferredcites →https://doi.org/10.1187/cbe.06-05-0166openalex-snapshot

Re: The Use of a Knowledge Survey as an Indicator of Student Learning in an Introductory Biology Course

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Software Metrics

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Software Carpentry: lessons learned

inferredcites →https://doi.org/10.21236/ada468594openalex-snapshot

A Proposed Taxonomy for Software Development Risks for High-Performance Computing (HPC) Scientific/Engineering Applications

inferredcites →https://doi.org/10.5555/1379249.1379265openalex-snapshot

Bloom's Taxonomy for CS Assessment

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-46079-6_36openalex-snapshot

Software Cost Analysis of GPU-Accelerated Aeroacoustics Simulations in C++ with OpenACC

inferred← citeshttps://doi.org/10.1007/978-3-319-67630-2_19openalex-snapshot

The Technological Roadmap of Parallware and Its Alignment with the OpenPOWER Ecosystem

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108327openalex-snapshot

A dive into the state of parallel application development in high-performance computing

inferred← citeshttps://doi.org/10.1109/eduhpc49559.2019.00013openalex-snapshot

Measuring the Impact of HPC Training

inferred← citeshttps://doi.org/10.1109/hipc.2018.00039openalex-snapshot

Why do Users Kill HPC Jobs?

inferred← citeshttps://doi.org/10.1109/mcse.2021.3097276openalex-snapshot

Navigating Performance, Portability, and Productivity

inferred← citeshttps://doi.org/10.1109/p3hpc.2018.00006openalex-snapshot

Effective Performance Portability

inferred← citeshttps://doi.org/10.1109/p3hpc.2018.00007openalex-snapshot

Evaluating the Impact of Proposed OpenMP 5.0 Features on Performance, Portability and Productivity

inferred← citeshttps://doi.org/10.1109/seaa53835.2021.00044openalex-snapshot

Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores

inferred← citeshttps://doi.org/10.1109/seaa56994.2022.00043openalex-snapshot

Analyzing Programming Effort Model Accuracy of High-Level Parallel Programs for Stream Processing

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How Easy it is to Write Software for Heterogeneous Systems?

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PerfAnalyzer: Revealing Performance Trends using Version Oriented Visual Analysis of Scientific Software

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