An exploratory study into the use of qualitative research methods in descriptive process modelling

The paper describes an exploratory study that investigated two descriptive software process models derived from the same process data using two different techniques. To set the context, the paper describes qualitative methods, particularly grounded theory and its techniques, and then explores the na...

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Vydáno v:Information and software technology Ročník 47; číslo 2; s. 113 - 127
Hlavní autoři: Carvalho, Lucila, Scott, Louise, Jeffery, Ross
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.02.2005
Elsevier Science Ltd
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ISSN:0950-5849, 1873-6025
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Abstract The paper describes an exploratory study that investigated two descriptive software process models derived from the same process data using two different techniques. To set the context, the paper describes qualitative methods, particularly grounded theory and its techniques, and then explores the nature of the differences in the two models produced. It suggests ways in which constant comparison may contribute to the process-modelling task. As far as we are aware, it also serves as the first exploratory research on the application of this method in the software engineering process research domain. Based on data analysis using the technique of constant comparison often used in grounded theory research, a naive process modeller derived one of the models. An experienced process engineer relying heavily on experience and skill using an ad hoc approach derived the second model. The aim of the study was to explore differences in the models derived and to use this comparison as a basis for reflection on the method conventionally used in descriptive process modelling in contrast with the use of more formal qualitative analysis. The results show that (1) data analysis using the technique of constant comparison could be successfully applied to analyse process data, (2) the person with little experience in process modelling could produce a process model based on the data analysis using constant comparison and (3) the process model produced by the naive modeller was not equivalent to that produced by an experienced process engineer.
AbstractList The paper describes an exploratory study that investigated two descriptive software process models derived from the same process data using two different techniques. To set the context, the paper describes qualitative methods, particularly grounded theory and its techniques, and then explores the nature of the differences in the two models produced. It suggests ways in which constant comparison may contribute to the process-modelling task. As far as we are aware, it also serves as the first exploratory research on the application of this method in the software engineering process research domain. Based on data analysis using the technique of constant comparison often used in grounded theory research, a naive process modeller derived one of the models. An experienced process engineer relying heavily on experience and skill using an ad hoc approach derived the second model. The aim of the study was to explore differences in the models derived and to use this comparison as a basis for reflection on the method conventionally used in descriptive process modelling in contrast with the use of more formal qualitative analysis. The results show that (1) data analysis using the technique of constant comparison could be successfully applied to analyse process data, (2) the person with little experience in process modelling could produce a process model based on the data analysis using constant comparison and (3) the process model produced by the naive modeller was not equivalent to that produced by an experienced process engineer. (Original abstract)
The paper describes an exploratory study that investigated two descriptive software process models derived from the same process data using two different techniques. To set the context, the paper describes qualitative methods, particularly grounded theory and its techniques, and then explores the nature of the differences in the two models produced. It suggests ways in which constant comparison may contribute to the process-modelling task. As far as we are aware, it also serves as the first exploratory research on the application of this method in the software engineering process research domain. Based on data analysis using the technique of constant comparison often used in grounded theory research, a naive process modeller derived one of the models. An experienced process engineer relying heavily on experience and skill using an ad hoc approach derived the second model. The aim of the study was to explore differences in the models derived and to use this comparison as a basis for reflection on the method conventionally used in descriptive process modelling in contrast with the use of more formal qualitative analysis. The results show that (1) data analysis using the technique of constant comparison could be successfully applied to analyse process data, (2) the person with little experience in process modelling could produce a process model based on the data analysis using constant comparison and (3) the process model produced by the naive modeller was not equivalent to that produced by an experienced process engineer. [PUBLICATION ABSTRACT]
The paper describes an exploratory study that investigated two descriptive software process models derived from the same process data using two different techniques. To set the context, the paper describes qualitative methods, particularly grounded theory and its techniques, and then explores the nature of the differences in the two models produced. It suggests ways in which constant comparison may contribute to the process-modelling task. As far as we are aware, it also serves as the first exploratory research on the application of this method in the software engineering process research domain. Based on data analysis using the technique of constant comparison often used in grounded theory research, a naive process modeller derived one of the models. An experienced process engineer relying heavily on experience and skill using an ad hoc approach derived the second model. The aim of the study was to explore differences in the models derived and to use this comparison as a basis for reflection on the method conventionally used in descriptive process modelling in contrast with the use of more formal qualitative analysis. The results show that (1) data analysis using the technique of constant comparison could be successfully applied to analyse process data, (2) the person with little experience in process modelling could produce a process model based on the data analysis using constant comparison and (3) the process model produced by the naive modeller was not equivalent to that produced by an experienced process engineer.
Author Carvalho, Lucila
Jeffery, Ross
Scott, Louise
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Cites_doi 10.1109/METRIC.2002.1011331
10.1109/ISESE.2003.1237966
10.1145/130994.130998
10.1016/S0950-5849(02)00080-0
10.1287/isre.7.1.63
10.1109/32.799955
10.1007/3-540-48738-7_10
10.1145/292182.292194
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Keywords Qualitative research methods
Process engineering
Descriptive process modelling
Software engineering
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SubjectTerms Data analysis
Data processing
Descriptive process modelling
Grounded theory
Process engineering
Qualitative methods
Qualitative research
Qualitative research methods
Research methods
Software
Software engineering
Studies
Title An exploratory study into the use of qualitative research methods in descriptive process modelling
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