Context: The increasing dependence of our society on software driven systems has led Software Product Quality to become a main concern as well as making it a highly active research area with hundreds of works being published every year. Software Product Quality is a complex multidimensional concept for which Reliability is considered as the key at-tribute. Notwithstanding, due to its conceptual complexity, there is no common agreement on what Software Reliability is, thus different stakeholders use a variety of Software Reliability views. Researches have also approached this topic from various and heterogeneous points of view, from the hardware legacy concept in terms of probability of failure to the recent proposals in terms of delivered service. This diversity is resulting in a rich body of literature on this topic the counterpart being its considerable complexity that makes it difficult to apprehend. Moreover, the sheer number of models proposed since the early1970s has added an important confusion to a particularly complex body of knowledge. It would, however, appear that this research activity is much more reduced as regards how to apply representative International Standards on Software Quality to the Software Reliability assessment in real-world industrial environment, with just a few works on Standard-Based Software Reliability Modeling (SB-SRM). This is surprising given the relevance of such International Standards in industry Objective: Our main aim is to improve our understanding of what Software Reliability means for industrial stakeholders as well as that of contributing to enhance the industrial applicability of Software Quality Models. The objective of this research is therefore searching for an answer to the question of how to apply Software Product Reliability Modeling to industrial environments using representative International Standards as a basis. To accomplish that we have approaching Software Reliability analysis by using structural model based on representative International Standards, which are industry-oriented as well as searching to develop a straightforward to apply method, which is of paramount importance in real-world context. Method: In order to achieve these stated objectives we first thoroughly performed a Systematic Review of the available literature, searching for confirmation or refutation of our research hypothesis as well as to constitute the State-of-the-Art on the topic. From this research a model proposal emerged, which underwent a verification phase by peer-review and publication in representative journals as well as presented in International Conference. After verification the proposal was validated into real-world industrial context by means of an ad hoc Case Study which results are at the moment of writing these lines partially published. Results: The obtained results showed a very limited application of SB-SRM particularly to industrial environment. The sensibleness of the proposed model and suitability of the analysis method is proved by the application on a very large industrial system which provides empirical evidence on the conceptual descriptiveness capturing stakeholders' views and industrial applicability in an efficient manner. This application also proved its suitability as analysis tool within the continuous improvement process both, for quality managers and technical managers interested in the relationships between source code attributes and the system exhibited behaviour. Conclusion: Our analysis points to the complexity of the proposed models together with the difficulties involved in applying them to the management of engineering activities as a root cause to be considered for such limited application. The various stakeholder needs are also an issue of paramount importance that should be better covered if the industrial applicability of the proposed models is to be increased. The industry needs of methods that are straightforward to apply in order to be useful to inform the decision making process in a real world context with a minimum need on resources and a maximum of results. This Thesis shows that structural models based on representative international standards can constitute a proper way to manage Software Product Quality in an environment where exhaustive testing is impractical and uneconomical.