S2: Integrated Research Training Group

@incollection{hilbrich2022workflows,

title = {Are Workflows a Language to Solve Software Management Challenges?--A ßMACH Based Analysis},

author = {Marcus Hilbrich and Vasilis Bountris},

doi = {10.3233/FAIA220253},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {New Trends in Intelligent Software Methodologies, Tools and Techniques},

volume = {355},

pages = {221--232},

publisher = {IOS Press},

series = {Frontiers in Artificial Intelligence and Applications},

abstract = {A language in computer science is not just a tool, the language defines essential aspects of the software management process. The language determines persons/actors/roles in the development/management team, the type of solution strategy, the description of the project, the cooperation with other teams, and the definition of the process. We are using workflows: The workflow language defines a problem decomposition to sub-workflows and tasks. We analyzed this language by a systematic method to nail down the software management process definition and to describe all relevant aspects of software management. This method is ßMACH and based on ßMACH we can provide the finding that the workflow language strongly defines a wide set of management aspects. As a result, we can state that the impact of a language is non-negligible.},

keywords = {},

pubstate = {published},

tppubtype = {incollection}

}

@incollection{hilbrich2022patterns,

title = {Knowledge Transfer Patterns to Make Disciplinary Knowledge Explicit – Exemplified by HPC},

author = {Marcus Hilbrich},

doi = {10.3233/FAIA220278},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {New Trends in Intelligent Software Methodologies, Tools and Techniques},

volume = {355},

pages = {487--498},

publisher = {IOS Press},

series = {Frontiers in Artificial Intelligence and Applications},

abstract = {High-Performance Computing (HPC) deals with parallel hard- and soft-ware since decades—with quite impressive results. Nowadays, we have parallel hardware (e.g., multi-core and many-core CPUs) in nearly every device, but parallel software is still a challenge, especially for non-HPC experts. Thus, we do not use the full potential of today’s hardware yet, and software developers have only a limited understanding of the possibilities of parallel hardware. Software performance engineering (SPE) confirms this statement. So, why are HPC projects successful, but other scientists often fail on parallelization challenges? Because they are no HPC experts and lack the needed knowledge. They do not become HPC experts because they are experts in other disciplines (of computer science)! To tackle this knowledge transfer challenge, we present the concept of our pattern catalog, describe why it is needed, why it is an adequate approach, and give examples of patterns. Our approach helps the HPC Community to make their knowledge explicit and makes it easier to transfer gathered knowledge from HPC to other disciplines.},

keywords = {},

pubstate = {published},

tppubtype = {incollection}

}