reproducer (version 0.4.0)

KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE: KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE data illustrate correlations between results from individual participants in a family of five cross-over experiments conducted by Abrahao et al: [1] S. Abrahao, C. Gravino, E. Insfran Pelozo, G. Scanniello, and G. Tortora, "Assessing the effectiveness of sequence diagrams in the comprehension of functional requirements: Results from a family of five experiments," IEEE Transactions on Software Engineering, vol. 39, no. 3, pp. 327<U+2013>342, March 2013 The five experiments assess whether the comprehensibility of function requirements improve when software models include UML sequence diagrams. If you use this data set please cite: [1] S. Abrahao, C. Gravino, E. Insfran Pelozo, G. Scanniello, and G. Tortora, "Assessing the effectiveness of sequence diagrams in the comprehension of functional requirements: Results from a family of five experiments," IEEE Transactions on Software Engineering, vol. 39, no. 3, pp. 327<U+2013>342, March 2013 [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).

Description

KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE data illustrate correlations between results from individual participants in a family of five cross-over experiments conducted by Abrahao et al: [1] S. Abrahao, C. Gravino, E. Insfran Pelozo, G. Scanniello, and G. Tortora, "Assessing the effectiveness of sequence diagrams in the comprehension of functional requirements: Results from a family of five experiments," IEEE Transactions on Software Engineering, vol. 39, no. 3, pp. 327<U+2013>342, March 2013 The five experiments assess whether the comprehensibility of function requirements improve when software models include UML sequence diagrams. If you use this data set please cite: [1] S. Abrahao, C. Gravino, E. Insfran Pelozo, G. Scanniello, and G. Tortora, "Assessing the effectiveness of sequence diagrams in the comprehension of functional requirements: Results from a family of five experiments," IEEE Transactions on Software Engineering, vol. 39, no. 3, pp. 327<U+2013>342, March 2013 [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.Abrahao13TSE

Format

A data frame with 224 rows and 8 variables:

ExperimentID

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

ParticipantID

<fct>|Participant ID: An identifier for each participant, unique for a specific experiment.

SequenceGroup

<fct>|Experimental Sequence Group: A (DM-NODM,ECP-EPlat or MShop-Theatre ), B (NODM-DM,ECP-EPlat or MShop-Theatre ), C(DM-NODM,EPlat-ECP or Theatre-MShop), D(NODM-DM,EPlat-ECP or Theatre-MShop)

System

<fct>|Software systems used in the experiment: ECP an e-commerce platform from which CDs and books can be bought, EPlat a system for the management of courses, lectures and students of a university, M-Shop a system for managing sales at a music shop, Theatre a system for managing bookings for a theatre.

Period

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

Treatment

<fct>|Experimental Treatment: A Dynamic Model (DM) vs No Dynamic Model (NODM)

Comprehension

<dbl>|Dependent variable: The comprehension level the software engineer achieved based on the F-measure

CrossOverID

<fct>|CrossOver category: For 4 group crossover designs, the crossover category specifies the matching pairs of sequence groups, CO1 and CO2. For a 2 group crossover, the category is set to CO1 only

Ability

<fct>|Ability: An assessment of the ability of participants: Low, High, NA (not available)

Examples

# NOT RUN {
KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE

# }