From Knowledge Management Concepts toward Software Engineering Practices

Author(s):  
Gerardo Canfora ◽  
Aniello Cimitile ◽  
Corrado Aaron Visaggio
1998 ◽  
Vol 41 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Danny C.C Poo ◽  
Mui Ken Chung

2014 ◽  
Vol 21 (3) ◽  
pp. 178-183
Author(s):  
Beata Gierczak

Abstract Introduction. Competitive advantage determines the success of modern enterprises, such as hospitality companies, on the market. In turn, competitive advantage is gained as the result of skillful management, taking into account the factors that characterize the company environment. In the management process, methods and concepts that, when properly applied, facilitate the company's innovative activities play the key role, thus contributing to building competitive advantage. The purpose of this paper is to specify and characterize the methods and management concepts most commonly used by hospitality companies in the process of building competitive advantage. The core benefit of these considerations is that they serve to identify those activities of hospitality companies in which the analyzed methods and concepts found practical application. The final part of the article is devoted to an attempt to identify barriers and problems that significantly limit the use of these methods and concepts. Material and methods. In order to achieve this objective, a survey and interviews were carried out in all three- and four-star hotels in the Rzeszów area in the first quarter of 2012. Results. The results revealed that the concept most commonly used by hoteliers was knowledge-based organization (knowledge management), followed by outsourcing, benchmarking and internal competition, respectively. Conclusions. The study also demonstrated that the managers of these hospitality companies significantly lacked substantive knowledge of emerging “market” management methods and concepts.


Author(s):  
Jorge Melegati ◽  
Rafael Chanin ◽  
Afonso Sales ◽  
Rafael Prikladnicki

Abstract In this position paper, our goal is to argue the need for specific software development practices to early-stage startups. In order to reach this goal, we discuss the consequences of innovative and market-driven contexts, which are two of the key elements when describing software startups. We also argue that these practices could be applied to innovative initiatives within established companies since they share similar characteristics and challenges as those from startups.


Author(s):  
Nuthan Munaiah ◽  
Steven Kroh ◽  
Craig Cabrey ◽  
Meiyappan Nagappan

Software forges like GitHub host millions of repositories. Software engineering researchers have been able to take advantage of such a large corpora of potential study subjects with the help of tools like GHTorrent and Boa. However, the simplicity in querying comes with a caveat: there are limited means of separating the signal (e.g. repositories containing engineered software projects) from the noise (e.g. repositories containing home work assignments). The proportion of noise in a random sample of repositories could skew the study and may lead to researchers reaching unrealistic, potentially inaccurate, conclusions. We argue that it is imperative to have the ability to sieve out the noise in such large repository forges. We propose a framework, and present a reference implementation of the framework as a tool called reaper, to enable researchers to select GitHub repositories that contain evidence of an engineered software project. We identify software engineering practices (called dimensions) and propose means for validating their existence in a GitHub repository. We used reaper to measure the dimensions of 1,994,977 GitHub repositories. We then used the data set train classifiers capable of predicting if a given GitHub repository contains an engineered software project. The performance of the classifiers was evaluated using a set of 200 repositories with known ground truth classification. We also compared the performance of the classifiers to other approaches to classification (e.g. number of GitHub Stargazers) and found our classifiers to outperform existing approaches. We found stargazers-based classifier to exhibit high precision (96%) but an inversely proportional recall (27%). On the other hand, our best classifier exhibited a high precision (82%) and a high recall (83%). The stargazer-based criteria offers precision but fails to recall a significant potion of the population.


Author(s):  
Ezequiel Scott ◽  
Guillermo Rodríguez ◽  
Álvaro Soria ◽  
Marcelo Campo

Software Engineering courses aim to train students to succeed in meeting the challenges within competitive and ever-changing professional contexts. Thus, undergraduate courses require continual revision and updating so as to cater for the demands of the software industry and guarantee academic quality. In this context, Scrum results in both a suitable and a flexible framework to train students in the implementation of professional software engineering practices. However, current approaches fail to provide guidance and assistance in applying Scrum, or a platform to address limitations in time, scope, and facilities within university premises. In this chapter, the authors present a software engineering training model based on the integration of the Agile Coach role and a virtual-reality platform called Virtual Scrum. The findings highlight the benefits of integrating this innovative model in a capstone course. Not only does this approach strengthen the acquisition of current software engineering practices but also opens new possibilities in the design of training courses.


2014 ◽  
pp. 1335-1361
Author(s):  
Claude Laporte ◽  
Edgardo Palza Vargas

Industry recognizes that Very Small Entities (VSEs) that develop software are very important to the economy. A Very Small Entity (VSE) is an entity (enterprise, organization, department or project) with up to 25 people..Failure to deliver a quality product on time and within budget threatens the competitiveness of VSEs and impacts their customers. One way to mitigate these risks is to put in place proven software engineering practices. Many international standards and models, like ISO/IEC 12207 or CMMI®1, have been developed to capture proven engineering practices. However, these documents were not designed for VSEs and are often difficult to apply in such settings. This chapter presents a description of the development of process improvement international standards (IS) targeting VSEs developing or maintaining software as a standalone product or software as a component of a system. The documents used by ISO/IEC JTC1/SC72 Working Group 24 (WG24), mandated to develop a set of standards and guides, and the approach that led to the development, balloting of the ISs, and TRs (Technical Reports) for VSEs are also presented. The chapter focuses on the ISO/IEC 29110 Standard3, the development of means to help VSEs improve their processes, and the description of a few pilot projects conducted to implement the processes of ISO/IEC 29110 standard.


Author(s):  
Saqib Saeed ◽  
Ashi Iram ◽  
Kiran Nazeer ◽  
Tayyaba Ayub

Requirement engineering is a main task in software process. In Software Engineering literature, many best practices and guidelines are present to construct quality software. However, adoption of such uniform guidelines is not in practice across the globe. In this chapter, the authors discuss requirement engineering practices followed in Pakistani small- and medium-scale enterprises. In order to understand work practices the authors conducted a survey and analyzed the responses. They found that cost and budgeting is one of the major issues of Pakistani industry: higher management is not willing to invest to adopt state-of-the-art standardized practices. This situation can be improved by enhancing public private partnerships to get desired quality software in the local IT industry.


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