A major issue in software maintenance is change propagation. A software engineer should be able to assess the impact of a change in a software system, so that the effort to accomplish the maintenance may be properly estimated. We define a novel model, named K3B, for estimating change propagation impact. The model aims to predict how far a set of changes will propagate throughout the system. K3B is a stochastic model that has input parameters about the system and the number of modules which will be initially changed. K3B returns the estimated number of change steps, considering that a module may be changed more than once during a modification process. We provide the implementation of K3B for object-oriented programs. We compare our implementation with data from an artificial scenario, given by simulation, as well as with data from a real scenario, given by historical data. We found strong correlation between the results given by K3B and the results observed in the simulation, as well as with historical data of change propagation. K3B may be used for comparing software systems from the viewpoint of change impact. The model may aid software engineers in allocating proper resources to the maintenance tasks.
Software Quality Journal – Springer Journals
Published: Feb 6, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera