Learning from mistakes: An empirical study of elicitation interviews performed by novices
Autor: | Didar Zowghi, Alessio Ferrari, Paola Spoletini, Muneera Bano, Beatrice Donati |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Medical education
Interview Requirements engineering Requirements engineering education Soft skills 020207 software engineering Context (language use) 02 engineering and technology Requirements elicitation Elicitation technique Interviews Empirical research Requirements elicitation techniques Authentic assessment 020204 information systems 0202 electrical engineering electronic engineering information engineering Psychology |
Zdroj: | 26th IEEE International Requirements Engineering Conference RE 2018, pp. 182–193, Banff, AB, Canada, 20-24 August, 2018 info:cnr-pdr/source/autori:Bano M.; Zowghi D.; Ferrari A.; Spoletini P.; Donati B./congresso_nome:26th IEEE International Requirements Engineering Conference RE 2018/congresso_luogo:Banff, AB, Canada/congresso_data:20-24 August, 2018/anno:2018/pagina_da:182/pagina_a:193/intervallo_pagine:182–193 RE |
Popis: | © 2018 IEEE. [Context] Interviews are the most widely used elicitation technique in requirements engineering. However, conducting effective requirements elicitation interviews is challenging, due to the combination of technical and soft skills that requirements analysts often acquire after a long period of professional practice. Empirical evidence about training the novices on conducting effective requirements elicitation interviews is scarce. [Objectives] We present a list of most common mistakes that novices make in requirements elicitation interviews. The objective is to assist the educators in teaching interviewing skills to student analysts. [Re-search Method] We conducted an empirical study involving role-playing and authentic assessment with 110 students, teamed up in 28 groups, to conduct interviews with a customer. One re-searcher made observation notes during the interview while two researchers reviewed the recordings. We qualitatively analyzed the data to identify the themes and classify the mistakes. [Results and conclusion] We identified 34 unique mistakes classified into 7 high level themes. We also give examples of the mistakes made by the novices in each theme, to assist the educationists and trainers. Our research design is a novel combination of well-known pedagogical approaches described in sufficient details to make it re-peatable for future requirements engineering education and training research. |
Databáze: | OpenAIRE |
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