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https://ruomo.lib.uom.gr/handle/7000/860
Τίτλος: | Change impact analysis: A systematic mapping study |
Συγγραφείς: | Kretsou, Maria Arvanitou, Elvira-Maria Ampatzoglou, Apostolos Deligiannis, Ignatios Gerogiannis, Vassilis C. |
Τύπος: | Article |
Θέματα: | FRASCATI::Natural sciences::Computer and information sciences |
Λέξεις-Κλειδιά: | Change impact analysis Change proneness Instability Changeability Amount of change |
Ημερομηνία Έκδοσης: | 2021 |
Πηγή: | Journal of Systems and Software |
Τόμος: | 174 |
Πρώτη Σελίδα: | 110892 |
Επιτομή: | Change Impact Analysis (CIA) is the process of exploring the tentative effects of a change in other parts of a system. CIA is considered beneficial in practice, since it reduces cost of maintenance and the risk of software development failures. In this paper, we present a systematic mapping study that covers a plethora of CIA methods (by exploring 111 papers), putting special emphasis on how the CIA phenomenon can be quantified: to be efficiently managed. The results of our study suggest that: (a) the practical benefits of CIA cover any type of maintenance request (e.g., feature additions, bug fixing) and can help in reducing relevant cost; (b) CIA quantification relies on four parameters (instability, amount of change, change proneness, and changeability), whose assessment is supported by various metrics and predictors; and (c) in this vast research field, there are still some viewpoints that remain unexplored (e.g., the negative consequences of highly change prone artifacts), whereas others are over-researched (e.g., quantification of instability based on metrics). Based on our results, we provide: (a) useful information for practitioners—i.e., the expected benefits of CIA, and a list of CIA-related metrics, emphasizing on the provision of a detailed interpretation of their relation to CIA; and (b) interesting future research directions—i.e., over- and under-researched sub-fields of CIA. |
URI: | https://doi.org/10.1016/j.jss.2020.110892 https://ruomo.lib.uom.gr/handle/7000/860 |
ISSN: | 0164-1212 |
Αλλοι Προσδιοριστές: | 10.1016/j.jss.2020.110892 |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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kretsou2020jss.R1.pdf | 1,23 MB | Adobe PDF | Προβολή/Ανοιγμα |
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