KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC: KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC...

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KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC data

Description

Data illustrate correlations between results from individual participants in a cross-over experiment conducted by Scanniello and Erra: [1] G. Scanniello and U. Erra, 'Distributed modeling of use case diagrams with a method based on think-pair-square: Results from two controlled experiments', Journal of Visual Languages and Computing, vol. 25, no. 4, pp. 494–517, 2014. The experiment investigated whether a new method based on think-pair-square and its implementation in a integrated communication/modeling environment (TPS approach) is as effective as traditional face-to-face (F2F approach) for requirements elicitation. The experiment was performed in two stages using different software systems. If you use this data set please cite: [1] G. Scanniello and U. Erra, 'Distributed modeling of use case diagrams with a method based on think-pair-square: Results from two controlled experiments,” Journal of Visual Languages and Computing, vol. 25, no. 4, pp. 494–517, 2014. [2] Barbara Kitchenham, Lech Madeyski, Giuseppe Scanniello and Carmine Gravino, 'The Importance of the Correlation between Results from Individual Participants in Crossover Experiments' (to be submitted as of 2020).

Usage

KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC

Format

A data frame with 36 rows and 12 variables:

ExperimentID

<fct>|ExperimentID: A unique identifier for each experiment in the data set.

ParticipantID

<fct>|Participant ID: An identifier for each team of four participants, unique for the specific experiment.

SequenceGroup

<fct>|Experimental Sequence Group: A , B

System

<fct>|Software systems used in the experiment: Library (a software system to manage books and users of a library) and FilmCollection (a software system for the selling and the rental of films in a shop) in ExperimentStage1 and Rent (a car rental software to manage cars, customers, and reservations) and ECP (an E-Commerce Platform to order CDs and books via the Internet from an on line catalogue), in ExperimentStage2.

Treatment

<fct>|Experimental Treatment: TPS vs F2F.

Period

<fct>|Time period of the cross-over experiment: 1 or 2 within each stage of the experiment

Time

<dbl>|Dependent variable: The total time [min] to accomplish the requirement engineering task.

Quality

<dbl>|Dependent variable: The quality of the requirements engineering task.

CrossOverID

<fct>|Crossover category: For a single 2 group crossover experiment, the value is set to CO1 for each experiment stage.

ExperimentPeriod

<fct>|ExperimentPeriod: The time period across both stages of the experiment.

ExperimentStage

<fct>|ExperimentStage: 1 first stage, 2 second stage.

Examples

KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC

reproducer documentation built on Oct. 18, 2023, 5:10 p.m.