Tool Support for Software Artefact Traceability in DevOps Practice

Author(s):  
Iresha Rubasinghe ◽  
Dulani Meedeniya ◽  
Indika Perera

Software development in DevOps practice is a widely used approach to cope with the demand for frequent artefact changes. These changes require a well-defined method to manage artefact consistency to ease the continuous integration process. This chapter proposes a traceability management approach for the artefact types in the main phases of the software process including requirements, design, source code, testing, and configuration. This chapter addresses traceability management, including trace link creation, change detection, impact analysis, change propagation, validation, and visualisation. This chapter presents a tool named SAT-Analyser that is applicable for any software development method and designed for continuous integration, multi-user collaboration, and DevOps tool stack compatibility. The SAT-Analyser is assessed using case studies and shown an impact analysis accuracy of 0.93 of F-measure. Further, the feedback by DevOps practitioners has shown the suitability and innovativeness of the proposed approach.

2011 ◽  
Vol 8 (4) ◽  
pp. 1277-1301 ◽  
Author(s):  
Zhigang Gao ◽  
Haixia Xia ◽  
Guojun Dai

The development of automotive cyber-physical systems (CPS) software needs to consider not only functional requirements, but also non-functional requirements and the interaction with physical environment. In this paper, a model-based software development method for automotive CPS (MoBDAC) is presented. The main contributions of this paper are threefold. First, MoBDAC covers the whole development workflow of automotive CPS software from modeling and simulation to code generation. Automatic tools are used to improve the development efficiency. Second, MoBDAC extracts nonfunctional requirements and deals with them in the implementation model level and source code level, which helps to correctly manage and meet non-functional requirements. Third, MoBDAC defines three kinds of relations between uncertain physical environment events and software internal actions in automotive CPS, and uses Model Modifier to integrate the interaction with physical environment. Moreover, we illustrate the development workflow of MoBDAC by an example of a power window development.


2012 ◽  
Vol 4 (4) ◽  
pp. 60-75
Author(s):  
Jerod W. Wilkerson

CHA-AS is a source code change impact analysis algorithm for Java programs. CHA-AS differs from other algorithms in that it does not require the program versions it compares to be whole programs with a well-defined program entry point. The need for such an algorithm is evident in iterative software development projects and projects involving the development of code libraries and frameworks—all of which may not have a well-defined program entry point at the time when change impact analysis needs to be performed. The CHA-AS algorithm supports the development of Decision Support Systems for software development managers and programmers working on iterative software development projects, or projects to develop source code libraries and frameworks. This paper describes the CHA-AS algorithm and demonstrates it to be efficient and effective in calculating source code change impact.


2010 ◽  
Vol 20-23 ◽  
pp. 1084-1090 ◽  
Author(s):  
Wen Long

Manufacturing Execution System (MES) links plan management and workshop control in an enterprise, which is an integrative management and control system of workshop production oriented to manufacturing process. To overcome the difficulties of traditional software development method, development of MES based on component is adopted to prompt development efficiency and performance of MES, which can be more reconstructing, reuse, expansion and integration, and MES domain analysis driven by ontology is investigated in detail. MES domain analysis driven by ontology is feasible and efficient through developing a pharmaceutics MES which applied in a pharmaceutics manufacturing factory.


Author(s):  
MARTÍN LÓPEZ-NORES ◽  
JOSÉ J. PAZOS-ARIAS ◽  
JORGE GARCÍA-DUQUE ◽  
YOLANDA BLANCO-FERNÁNDEZ ◽  
REBECA P. DÍAZ-REDONDO ◽  
...  

One of the main ideas of agile development is to perform continuous integration, in order to detect and resolve conflicts among several modular units of a system as soon as possible. Whereas this feature is well catered for at the level of programming source code, the support available in formal specification environments is still rather unsatisfactory: it is possible to analyze the composition of several modular units automatically, but no assistance is given to help modify them in case of problems. Instead, the stakeholders who build the specifications are forced to attempt manual changes until reaching the desired functionality, in a process that is far from being intuitive. In response to that, this paper presents procedures and algorithms that automate the whole process of doing integration analyses and generating revisions to solve the diagnosed problems. These mechanisms serve to complete an agile specification environment presented in a previous paper, which was designed around the principle of facilitating the creative efforts of the stakeholders.


Author(s):  
CUAUHTÉMOC LÓPEZ-MARTÍN ◽  
ALAIN ABRAN

Expert-based effort prediction in software projects can be taught, beginning with the practices learned in an academic environment in courses designed to encourage them. However, the length of such courses is a major concern for both industry and academia. Industry has to work without its employees while they are taking such a course, and academic institutions find it hard to fit the course into an already tight schedule. In this research, the set of Personal Software Process (PSP) practices is reordered and the practices are distributed among fewer assignments, in an attempt to address these concerns. This study involved 148 practitioners taking graduate courses who developed 1,036 software course assignments. The hypothesis on which it is based is the following: When the activities in the original PSP set are reordered into fewer assignments, the result is expert-based effort prediction that is statistically significantly better.


2021 ◽  
pp. 1063293X2110152
Author(s):  
Qing Yang ◽  
Yingxin Bi ◽  
Qinru Wang ◽  
Tao Yao

Software development projects have undergone remarkable changes with the arrival of agile development approaches. Many firms are facing a need to use these approaches to manage entities consisting of multiple projects (i.e. programs) simultaneously and efficiently. New technologies such as big data provide a huge power and rich demand for the IT application system of the commercial bank which has the characteristics of multiple sub-projects, strong inter-project correlation, and numerous project participating teams. Hence, taking the IT program management of a bank in China as a case, we explore the methods to solve the problems in multi-project concurrent development practice through integrating the ideas of program and batch management. First, to coordinate the multi-project development process, this paper presents the batch-based agile program management approach that synthesizes concurrent engineering with agile methods. And we compare the application of batch management between software development projects and manufacturing process. Further, we analyze the concurrent multi-project development practice in the batch-based agile program management, including the overlapping between stages, individual project’s activities, and multiple projects based on common resources and environment to stimulate the knowledge transfer. Third, to facilitate the communication and coordination of batch-based program management, we present the double-level responsibility organizational structure of batch management.


Sign in / Sign up

Export Citation Format

Share Document