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© Fraunhofer IESE 
EVALUATION IN PRACTICE: Artefact-based RE and Scenarios in Smart Mobility Domains 
Constanza Lampasona, Philipp Diebold, Jonas Eckhardt, Rolf Schneider 
8th International Symposium on Empirical Software Engineering and Measurement 
19 September 2014 - Torino, Italy
© Fraunhofer IESE 
2 
Study Goal 
Evaluate 
the artifact-based RE approach with respect to usability (G1), 
its tool realization with respect to perceived usefulness (G2) and perceived ease of use (G3), 
and the acceptance of the scenario in general (G4) and in the project (G5), as well as its impact on the companies’ operational (G6) and strategic (G7) work.
© Fraunhofer IESE 
3 
Study Design Initial and Final Design 
Study 1: 
Structured review of 
scenarios 
Study 2 and 3: 
Sub-project meetings 
Study 4: 
Survey of EA-Plugin users 
Part 1: 
Results 
Part 2: 
Tooling 
Part 3: 
Concepts 
the artifact-based RE approach with respect to usability (G1) 
its tool realization with respect to perceived usefulness (G2) and perceived ease of use (G3) 
the acceptance of the scenario in general (G4) and in the project (G5), as well as its impact on the companies’ operational (G6) and strategic (G7) work 
Online Survey 
Paper Survey
© Fraunhofer IESE 
4 
http://detroitsportsrag.net/wp-content/uploads/2014/02/Results1-1024x675.jpg
© Fraunhofer IESE 
5 
Results Artefact-based RE 
20% 
9% 
11% 
10% 
11% 
22% 
22% 
40% 
45% 
30% 
22% 
44% 
67% 
30% 
45% 
50% 
44% 
22% 
11% 
10% 
10% 
22% 
0% 
50% 
100% 
AQ6 (N=9, IDK=4) 
AQ5 (N=9, IDK=4) 
AQ4 (N=10, IDK=3) 
AQ3 (N=11, IDK=2) 
AQ2 (N=10, IDK=3) 
AQ1 (N=9, IDK=4) 
strongly disagree 
disagree 
neither agree nor disagree 
agree 
strongly agree 
N 
Mdn 
Stand. test results 
p-values 
9 
4 
1.933 
0.026* 
10 
4 
1.897 
0.029* 
11 
3 
1.000 
0.158 
10 
3 
0.107 
0.457 
9 
4 
2.530 
0.005* 
9 
4 
1.933 
0.026* 
* significant at a 0.05 level 
the artifact-based RE approach with respect to usability (G1) 
The created artifacts are reproducible. 
The reference model provided all necessary elements to specify the requirements. 
It was clear with which elements to model which kind of information. 
The perceived productivity was high. 
The reference model allows modeling all contents important for a requirements spec. 
The approach is clear and understandable.
© Fraunhofer IESE 
6 
Results EA-Plugin 
its tool realization with respect to perceived usefulness (G2) and perceived ease of use (G3) 
08% 
08% 
08% 
08% 
15% 
15% 
08% 
23% 
08% 
08% 
15% 
15% 
08% 
08% 
23% 
23% 
23% 
15% 
15% 
23% 
31% 
23% 
23% 
23% 
46% 
38% 
46% 
46% 
54% 
38% 
31% 
23% 
31% 
31% 
38% 
08% 
15% 
08% 
15% 
08% 
15% 
08% 
08% 
08% 
0% 
50% 
100% 
... enabled me to accomplish tasks more 
quickly. 
... improved my performance in 
requirements modeling. 
... enhanced my effectiveness in modeling 
requirements. 
... made it easier to model requirements. 
I find the EA-plugin useful for modeling 
requirements. 
Learning to operate the EA-plugin was easy 
for me. 
I found it easy to get the EA-plugin to do 
what I wanted to do. 
The interaction with the EA-plugin was 
clear and understandable. 
I found the EA-plugin flexible to interact 
with. 
It would be easy for me to become skillful 
at using the EA-plugin. 
I find the EA-plugin easy to use. 
strongly disagree 
disagree 
neither agree nor disagree 
agree 
strongly agree 
N 
Mdn 
Stand. test results 
p-values 
11 
4 
1.350 
0.088 
11 
3 
0.513 
0.304 
11 
3 
1.406 
0.080 
10 
3.5 
0.791 
0.214 
9 
4 
1.081 
0.139 
10 
4 
1.897 
0.029* 
* significant at a 0.05 level 
11 
4 
1.414 
0.078 
10 
3.5 
1.134 
0.128 
11 
4 
2.111 
0.017* 
11 
4 
1.706 
0.044* 
11 
4 
2.309 
0.010* 
I find the EA-plugin easy to use. 
It would be easy for me to become skillful at using the EA-plugin. 
I found the EA-plugin flexible to interact with. 
The interaction with the EA-plugin was clear and understandable. 
I found it easy to get the EA-plugin to do what I want to do. 
Learning to operate the EA-plugin was easy for me. 
I find the EA-plugin useful for modeling requirements. 
… made it easer to model requirements. 
… enhance my effectiveness in modeling requirements. 
… improve my performance in requirements modeling. 
… enable me to accomplish tasks more quickly.
© Fraunhofer IESE 
7 
Results Scenarios 
21% 
5% 
29% 
28% 
16% 
23% 
32% 
56% 
61% 
49% 
16% 
10% 
21% 
23% 
SQ4 (N=38, IDK=1) 
SQ3 
SQ2 (N=38, IDK=1) 
SQ1 (N=39) 
13% 
7% 
7% 
6% 
10% 
42% 
30% 
33% 
27% 
14% 
28% 
17% 
19% 
27% 
20% 
28% 
36% 
29% 
44% 
33% 
47% 
44% 
21% 
8% 
5% 
SQ10 (N=24, IDK=5, Missing=1) 
SQ9 (N=27, IDK=2, Missing=1) 
SQ8 (N=15, IDK=1) 
SQ7 (N=15, IDK=1) 
SQ6 (N=36, IDK=3) 
SQ5 (N=39) 
6% 
5% 
5% 
24% 
27% 
15% 
17% 
8% 
5% 
11% 
44% 
50% 
38% 
44% 
41% 
21% 
18% 
26% 
29% 
20% 
38% 
36% 
38% 
58% 
53% 
49% 
8% 
11% 
26% 
14% 
SQ18 (N=34, IDK=5) 
SQ17 (N=30, IDK=9) 
SQ16 (N=34, IDK=5) 
SQ15 (N=36, IDK=3) 
SQ14 (N=37, IDK=2) 
SQ13 (N=38, IDK=1) 
SQ12 (N=38, IDK=1) 
SQ11 (N=35, IDK=4) 
strongly disagree 
disagree 
neither agree or disagree 
agree 
strongly agree 
the acceptance of the scenario in general (G4) and in the project (G5), as well as its impact on the companies’ operational (G6) and strategic (G7) work 
In general 
The scenario is a reasonable view of the future. 
The scenario is relevant for society in future. 
The scenario could be used to communicate complex processes to the general public. 
The scenario could be used to prioritize actions for implementation. 
ARAMiS project 
The scenario could be used for guiding the development of multicore technology. 
The scenario could improve communication within the project. 
How relevant is the scenario for SP3 in ARAMiS? 
The scenario could have been used as a base for the work performed in SP3. 
How relevant is the scenario for SP4 in ARAMiS? 
The scenario could have been used as a base for the work performed in SP4. 
participants’ company & work 
The scenario is relevant for industry. 
The scenario is relevant for research. 
The scenario examines possible developments that could have an impact on my organization. 
The scenario could be useful for my company. 
The scenario could help my company prepare for possible changes. 
The scenario could help my company find directions for future decisions. 
The scenario could bring advantages to my work. 
The scenario could be useful for my work.
© Fraunhofer IESE 
8 
http://www.beainstitute.org/wp-content/uploads/2013/03/pmo-lessons-learned.jpg
© Fraunhofer IESE 
10 
Lessons Learned - Empirical 
http://eofdreams.com/data_images/dreams/telephone/telephone-01.jpg
© Fraunhofer IESE 
11 
Lessons Learned - Empirical 
http://www.stegman.com/site/wp-content/uploads/2012/05/Man-with-loudspeaker.jpg
© Fraunhofer IESE 
12 
Lessons Learned - Empirical 
http://bilder.bild.de/fotos-skaliert/philipplahm_39884949_mbqf-1405715143-36890868/2,w=650,c=0.bild.jpg
© Fraunhofer IESE 
13 
Take-Aways Empirical Work 
https://www.bigis-schatzkiste.de/brautschmuck-zuchtperlen/images/product_images/info_images/Feder-4324.jpg
© Fraunhofer IESE 
14 
Take-Aways Empirical Work 
http://integinternational.com/wp-content/uploads/flexible.jpg
© Fraunhofer IESE 
15 
Take-Aways Requirements Engineering 
http://www.landeswelle.de/assets/images/128825/h450_mar_w800/lupe-hand.jpg
© Fraunhofer IESE 
16 
Take-Aways Requirements Engineering 
http://bestpaperz.com/data_images/out/36/8890500-girl-abstract-art.jpg
© Fraunhofer IESE 
17 
Take-Aways Requirements Engineering 
http://metrics.net/blog/wp-content/uploads/2011/01/Past-Future2.jpg
© Fraunhofer IESE 
18 
Philipp Diebold 
M. Sc. 
@p_diebold 
Process Management 
Dep. MPE 
Fraunhofer IESE Fraunhofer-Platz 1 | D-67663 Kaiserslautern 
Phone: +49 (0) 631-6800-2183 Fax: +49 (0) 631-6800-9-2183 Email: philipp.diebold@iese.fraunhofer.de 
Thank 
you 
Questions?

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196 - Evaluation in Practice: Artifact-based Requirements Engineering and Scenarios in Smart Mobility Domains

  • 1. © Fraunhofer IESE EVALUATION IN PRACTICE: Artefact-based RE and Scenarios in Smart Mobility Domains Constanza Lampasona, Philipp Diebold, Jonas Eckhardt, Rolf Schneider 8th International Symposium on Empirical Software Engineering and Measurement 19 September 2014 - Torino, Italy
  • 2. © Fraunhofer IESE 2 Study Goal Evaluate the artifact-based RE approach with respect to usability (G1), its tool realization with respect to perceived usefulness (G2) and perceived ease of use (G3), and the acceptance of the scenario in general (G4) and in the project (G5), as well as its impact on the companies’ operational (G6) and strategic (G7) work.
  • 3. © Fraunhofer IESE 3 Study Design Initial and Final Design Study 1: Structured review of scenarios Study 2 and 3: Sub-project meetings Study 4: Survey of EA-Plugin users Part 1: Results Part 2: Tooling Part 3: Concepts the artifact-based RE approach with respect to usability (G1) its tool realization with respect to perceived usefulness (G2) and perceived ease of use (G3) the acceptance of the scenario in general (G4) and in the project (G5), as well as its impact on the companies’ operational (G6) and strategic (G7) work Online Survey Paper Survey
  • 4. © Fraunhofer IESE 4 http://detroitsportsrag.net/wp-content/uploads/2014/02/Results1-1024x675.jpg
  • 5. © Fraunhofer IESE 5 Results Artefact-based RE 20% 9% 11% 10% 11% 22% 22% 40% 45% 30% 22% 44% 67% 30% 45% 50% 44% 22% 11% 10% 10% 22% 0% 50% 100% AQ6 (N=9, IDK=4) AQ5 (N=9, IDK=4) AQ4 (N=10, IDK=3) AQ3 (N=11, IDK=2) AQ2 (N=10, IDK=3) AQ1 (N=9, IDK=4) strongly disagree disagree neither agree nor disagree agree strongly agree N Mdn Stand. test results p-values 9 4 1.933 0.026* 10 4 1.897 0.029* 11 3 1.000 0.158 10 3 0.107 0.457 9 4 2.530 0.005* 9 4 1.933 0.026* * significant at a 0.05 level the artifact-based RE approach with respect to usability (G1) The created artifacts are reproducible. The reference model provided all necessary elements to specify the requirements. It was clear with which elements to model which kind of information. The perceived productivity was high. The reference model allows modeling all contents important for a requirements spec. The approach is clear and understandable.
  • 6. © Fraunhofer IESE 6 Results EA-Plugin its tool realization with respect to perceived usefulness (G2) and perceived ease of use (G3) 08% 08% 08% 08% 15% 15% 08% 23% 08% 08% 15% 15% 08% 08% 23% 23% 23% 15% 15% 23% 31% 23% 23% 23% 46% 38% 46% 46% 54% 38% 31% 23% 31% 31% 38% 08% 15% 08% 15% 08% 15% 08% 08% 08% 0% 50% 100% ... enabled me to accomplish tasks more quickly. ... improved my performance in requirements modeling. ... enhanced my effectiveness in modeling requirements. ... made it easier to model requirements. I find the EA-plugin useful for modeling requirements. Learning to operate the EA-plugin was easy for me. I found it easy to get the EA-plugin to do what I wanted to do. The interaction with the EA-plugin was clear and understandable. I found the EA-plugin flexible to interact with. It would be easy for me to become skillful at using the EA-plugin. I find the EA-plugin easy to use. strongly disagree disagree neither agree nor disagree agree strongly agree N Mdn Stand. test results p-values 11 4 1.350 0.088 11 3 0.513 0.304 11 3 1.406 0.080 10 3.5 0.791 0.214 9 4 1.081 0.139 10 4 1.897 0.029* * significant at a 0.05 level 11 4 1.414 0.078 10 3.5 1.134 0.128 11 4 2.111 0.017* 11 4 1.706 0.044* 11 4 2.309 0.010* I find the EA-plugin easy to use. It would be easy for me to become skillful at using the EA-plugin. I found the EA-plugin flexible to interact with. The interaction with the EA-plugin was clear and understandable. I found it easy to get the EA-plugin to do what I want to do. Learning to operate the EA-plugin was easy for me. I find the EA-plugin useful for modeling requirements. … made it easer to model requirements. … enhance my effectiveness in modeling requirements. … improve my performance in requirements modeling. … enable me to accomplish tasks more quickly.
  • 7. © Fraunhofer IESE 7 Results Scenarios 21% 5% 29% 28% 16% 23% 32% 56% 61% 49% 16% 10% 21% 23% SQ4 (N=38, IDK=1) SQ3 SQ2 (N=38, IDK=1) SQ1 (N=39) 13% 7% 7% 6% 10% 42% 30% 33% 27% 14% 28% 17% 19% 27% 20% 28% 36% 29% 44% 33% 47% 44% 21% 8% 5% SQ10 (N=24, IDK=5, Missing=1) SQ9 (N=27, IDK=2, Missing=1) SQ8 (N=15, IDK=1) SQ7 (N=15, IDK=1) SQ6 (N=36, IDK=3) SQ5 (N=39) 6% 5% 5% 24% 27% 15% 17% 8% 5% 11% 44% 50% 38% 44% 41% 21% 18% 26% 29% 20% 38% 36% 38% 58% 53% 49% 8% 11% 26% 14% SQ18 (N=34, IDK=5) SQ17 (N=30, IDK=9) SQ16 (N=34, IDK=5) SQ15 (N=36, IDK=3) SQ14 (N=37, IDK=2) SQ13 (N=38, IDK=1) SQ12 (N=38, IDK=1) SQ11 (N=35, IDK=4) strongly disagree disagree neither agree or disagree agree strongly agree the acceptance of the scenario in general (G4) and in the project (G5), as well as its impact on the companies’ operational (G6) and strategic (G7) work In general The scenario is a reasonable view of the future. The scenario is relevant for society in future. The scenario could be used to communicate complex processes to the general public. The scenario could be used to prioritize actions for implementation. ARAMiS project The scenario could be used for guiding the development of multicore technology. The scenario could improve communication within the project. How relevant is the scenario for SP3 in ARAMiS? The scenario could have been used as a base for the work performed in SP3. How relevant is the scenario for SP4 in ARAMiS? The scenario could have been used as a base for the work performed in SP4. participants’ company & work The scenario is relevant for industry. The scenario is relevant for research. The scenario examines possible developments that could have an impact on my organization. The scenario could be useful for my company. The scenario could help my company prepare for possible changes. The scenario could help my company find directions for future decisions. The scenario could bring advantages to my work. The scenario could be useful for my work.
  • 8. © Fraunhofer IESE 8 http://www.beainstitute.org/wp-content/uploads/2013/03/pmo-lessons-learned.jpg
  • 9. © Fraunhofer IESE 10 Lessons Learned - Empirical http://eofdreams.com/data_images/dreams/telephone/telephone-01.jpg
  • 10. © Fraunhofer IESE 11 Lessons Learned - Empirical http://www.stegman.com/site/wp-content/uploads/2012/05/Man-with-loudspeaker.jpg
  • 11. © Fraunhofer IESE 12 Lessons Learned - Empirical http://bilder.bild.de/fotos-skaliert/philipplahm_39884949_mbqf-1405715143-36890868/2,w=650,c=0.bild.jpg
  • 12. © Fraunhofer IESE 13 Take-Aways Empirical Work https://www.bigis-schatzkiste.de/brautschmuck-zuchtperlen/images/product_images/info_images/Feder-4324.jpg
  • 13. © Fraunhofer IESE 14 Take-Aways Empirical Work http://integinternational.com/wp-content/uploads/flexible.jpg
  • 14. © Fraunhofer IESE 15 Take-Aways Requirements Engineering http://www.landeswelle.de/assets/images/128825/h450_mar_w800/lupe-hand.jpg
  • 15. © Fraunhofer IESE 16 Take-Aways Requirements Engineering http://bestpaperz.com/data_images/out/36/8890500-girl-abstract-art.jpg
  • 16. © Fraunhofer IESE 17 Take-Aways Requirements Engineering http://metrics.net/blog/wp-content/uploads/2011/01/Past-Future2.jpg
  • 17. © Fraunhofer IESE 18 Philipp Diebold M. Sc. @p_diebold Process Management Dep. MPE Fraunhofer IESE Fraunhofer-Platz 1 | D-67663 Kaiserslautern Phone: +49 (0) 631-6800-2183 Fax: +49 (0) 631-6800-9-2183 Email: philipp.diebold@iese.fraunhofer.de Thank you Questions?