Establishing a Benchmark Dataset for Traceability Link Recovery between Software Architecture Documentation and Models
Fuchß, Dominik
1; Corallo, Sophie
1,2; Keim, Jan
1; Speit, Janek; Koziolek, Anne
1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
2 Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL), Karlsruher Institut für Technologie (KIT)
1; Corallo, Sophie
1,2; Keim, Jan
1; Speit, Janek; Koziolek, Anne
11 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
2 Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL), Karlsruher Institut für Technologie (KIT)
Abstract (englisch):
In research, evaluation plays a key role to assess the performance of an approach.
When evaluating approaches, there is a wide range of possible types of studies that can be used, each with different properties.
Benchmarks have the benefit that they establish clearly defined standards and baselines.
However, when creating new benchmarks, researchers face various problems regarding the identification of potential data, its mining, as well as the creation of baselines.
As a result, some research domains do not have any benchmarks at all.
This is the case for traceability link recovery between software architecture documentation and software architecture models.
In this paper, we create and describe an open-source benchmark dataset for this research domain.
With this benchmark, we define a baseline with a simple approach based on information retrieval techniques.
This way, we provide other researchers a way to evaluate and compare their approaches.
When evaluating approaches, there is a wide range of possible types of studies that can be used, each with different properties.
Benchmarks have the benefit that they establish clearly defined standards and baselines.
However, when creating new benchmarks, researchers face various problems regarding the identification of potential data, its mining, as well as the creation of baselines.
As a result, some research domains do not have any benchmarks at all.
This is the case for traceability link recovery between software architecture documentation and software architecture models.
In this paper, we create and describe an open-source benchmark dataset for this research domain.
With this benchmark, we define a baseline with a simple approach based on information retrieval techniques.
This way, we provide other researchers a way to evaluate and compare their approaches.
| Zugehörige Institution(en) am KIT | Institut für Informationssicherheit und Verlässlichkeit (KASTEL) Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL) |
| Publikationstyp | Forschungsbericht/Preprint |
| Publikationsjahr | 2022 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000151962 |
| HGF-Programm | 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems |
| Verlag | Karlsruher Institut für Technologie (KIT) |
| Umfang | 8 S. |
| Projektinformation | SofDCar (BMWE, 19S21002K) |
| Bemerkung zur Veröffentlichung | Accepted by 2nd International Workshop on Mining Software Repositories for Software Architecture (MSR4SA’22) - Co-located with 16th European Conference on Software Architecture (ECSA) 2022 |
| Schlagwörter | Software Architecture Documentation, Natural Language Processing, Traceability link recovery, Mining Software Repositories |
| Relationen in KITopen |
|