There is a constant need for practical, efficient and costeffective software evolution techniques. We propose a novel evolution methodology that integrates the concepts of features and component-based software engineering (CBSE). We collect information about a legacy system’s features through interviews with key developers, users of the system and analyzing the existing regression test cases. We found that regression test cases are untapped resources, as far as information about system features is concerned. By exercising each feature with their associated test cases using code profilers and similar tools, we are able to locate code that we can refactor to create components. These components are then inserted back into the legacy system, en...
This paper presents a knowledge-based approach to evolving and re-engineering large legacy systems. ...
Abstract. Successful software evolves, more and more commonly, from a single system to a set of syst...
n/aAs development costs spiral upwards, creating ever more complex systems from scratch seems impla...
There is a constant need for practical, efficient and cost-effective software evolution techniques. ...
Because many software systems used for business today are considered legacy systems, the need for so...
The amount of software around us has increased incredibly. A lot of the new software is integrated i...
Software evolution is one of the challenging issues in today’s business environment. It is necessary...
The purpose of this paper is to gain experience in solving real problems faced by a company. We firs...
Hardware evolves faster than software. While a hardware system might need replacement every one to ...
The goals of this tutorial are to: (emph{i) give the reader a quick introduction to the field of sof...
Even though software change is inevitable, accurate maintenance can extend software lifespan in a su...
During its life, a legacy system is subjected to many maintenance activities, which cause degradatio...
In this paper, we attempt to understand what contributes to a successful process for managing legacy...
Legacy software systems are those that significantly resist modification and evolution while still b...
Computer software is, by its very nature highly complex and invisible yet subject to a near-continua...
This paper presents a knowledge-based approach to evolving and re-engineering large legacy systems. ...
Abstract. Successful software evolves, more and more commonly, from a single system to a set of syst...
n/aAs development costs spiral upwards, creating ever more complex systems from scratch seems impla...
There is a constant need for practical, efficient and cost-effective software evolution techniques. ...
Because many software systems used for business today are considered legacy systems, the need for so...
The amount of software around us has increased incredibly. A lot of the new software is integrated i...
Software evolution is one of the challenging issues in today’s business environment. It is necessary...
The purpose of this paper is to gain experience in solving real problems faced by a company. We firs...
Hardware evolves faster than software. While a hardware system might need replacement every one to ...
The goals of this tutorial are to: (emph{i) give the reader a quick introduction to the field of sof...
Even though software change is inevitable, accurate maintenance can extend software lifespan in a su...
During its life, a legacy system is subjected to many maintenance activities, which cause degradatio...
In this paper, we attempt to understand what contributes to a successful process for managing legacy...
Legacy software systems are those that significantly resist modification and evolution while still b...
Computer software is, by its very nature highly complex and invisible yet subject to a near-continua...
This paper presents a knowledge-based approach to evolving and re-engineering large legacy systems. ...
Abstract. Successful software evolves, more and more commonly, from a single system to a set of syst...
n/aAs development costs spiral upwards, creating ever more complex systems from scratch seems impla...