MARPa: A Software Modelling Assistance and Requirements Pattern-based Method for Low Code No Code Software Development - Technical report, focus group demographics, perceptions, and quotes

This repository contains the technical report, focus group demographics, experimental instruments, and raw data related to the design and preliminary validation from the paper "MARPa: A Software Modelling Assistance and Requirements Pattern-based Method for Low Code No Code Software Development," currently under review as a Scientific Method-oriented Paper at CAiSE2025. How to use Technical report (CAiSE2025-MARPa-Technical-Report.pdf) This Word document compiles a detailed description of method chunks composing MARPa, extending chapter 3 from our original paper. As well, we include the metamodel of MARPa together with further explanation on how to extend the proposed method chunks. Data from focus groups Demographics and Perceptions (Results-anonym.xlsx) This file contains the demographics of subjects who participated in the focus group and the perceptions for PV1 and PV2. In this file, you will find: ID: Contains the ID to identify the subject and group. Cosent and collection: Contains the status of collection of data and consent from subjects. As mentioned in the paper, we had 15 subjects but only 9 valid perception questionnaires (i.e., questionnaires with at least one answer regarding PV1 or PV2). We report the demographics from subjects with empty questionnaires since we recorded/transcribed insights from the focus group where they also participated. Main area: Contains the main are of expertise of each subject. Time (years): Contains the number of years of experience of each subject in his/her main area of expertise. Experience in SW (years): Contains the number of years of experience in each subject in software development. Method concept: Contains the number of method engineering concepts the subjects knew beforehand. We listed 6 concepts: i) method chunk, ii) work product, iii) fragment, iv) metamodel, v) process, and vi) method tailoring. This column has the number of concepts the subjects affirm to have knowledge from. PV1: Contains the 1-to-5 value of a Likert scale regarding subjects' perceived technical implications (technical suitability) of the tailored MARPa method. PV2: Contains the 1-to-5 value of a Likert scale regarding subjects' perceived relative advantage (social suitability) of the tailored MARPa method. Quotes from focus group and subjects' feedback (QV; Results-QV-anonym.csv) This file contains the quotes from transcripts and recordings during the focus group where we extracted the feedback. It contains the ID of the feedback we gathered, the clusters, a representative quote, and the summarized quote we reported in our paper.

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Publication Details

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Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-06
DOI
https://doi.org/10.5281/zenodo.14290136
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

MARPa: A Software Modelling Assistance and Requirements Pattern-based Method for Low Code No Code Software Development - Technical report, focus group demographics, perceptions, and quotes

Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
article

MARPa: A Software Modelling Assistance and Requirements Pattern-based Method for Low Code No Code Software Development - Technical report, focus group demographics, perceptions, and quotes

article en

Abstract

This repository contains the technical report, focus group demographics, experimental instruments, and raw data related to the design and preliminary validation from the paper "MARPa: A Software Modelling Assistance and Requirements Pattern-based Method for Low Code No Code Software Development," currently under review as a Scientific Method-oriented Paper at CAiSE2025. How to use Technical report (CAiSE2025-MARPa-Technical-Report.pdf) This Word document compiles a detailed description of method chunks composing MARPa, extending chapter 3 from our original paper. As well, we include the metamodel of MARPa together with further explanation on how to extend the proposed method chunks. Data from focus groups Demographics and Perceptions (Results-anonym.xlsx) This file contains the demographics of subjects who participated in the focus group and the perceptions for PV1 and PV2. In this file, you will find: ID: Contains the ID to identify the subject and group. Cosent and collection: Contains the status of collection of data and consent from subjects. As mentioned in the paper, we had 15 subjects but only 9 valid perception questionnaires (i.e., questionnaires with at least one answer regarding PV1 or PV2). We report the demographics from subjects with empty questionnaires since we recorded/transcribed insights from the focus group where they also participated. Main area: Contains the main are of expertise of each subject. Time (years): Contains the number of years of experience of each subject in his/her main area of expertise. Experience in SW (years): Contains the number of years of experience in each subject in software development. Method concept: Contains the number of method engineering concepts the subjects knew beforehand. We listed 6 concepts: i) method chunk, ii) work product, iii) fragment, iv) metamodel, v) process, and vi) method tailoring. This column has the number of concepts the subjects affirm to have knowledge from. PV1: Contains the 1-to-5 value of a Likert scale regarding subjects' perceived technical implications (technical suitability) of the tailored MARPa method. PV2: Contains the 1-to-5 value of a Likert scale regarding subjects' perceived relative advantage (social suitability) of the tailored MARPa method. Quotes from focus group and subjects' feedback (QV; Results-QV-anonym.csv) This file contains the quotes from transcripts and recordings during the focus group where we extracted the feedback. It contains the ID of the feedback we gathered, the clusters, a representative quote, and the summarized quote we reported in our paper.

Zenodo (CERN European Organization for Nuclear Research)
University of Geneva (CH), Universitat Politècnica de València (ES), ZHAW Zurich University of Applied Sciences (CH)
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Functional Brain Connectivity Studies
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